eff6228768d3436095f0566866c39fbe		2024-12-09 17:33:35.305946	2024-12-09 17:33:30.889688	{"epsg":"0","file":"/onesis/kt4/job_results/gwcorr12091730.shp"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/ogr.py:601: FutureWarning: Neither ogr.UseExceptions() nor ogr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\n/data/onesis/kt4/job_results/gwcorr12091730.shp is in WGS84 or based on WGS84.\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:8e7e2b7e641243f0893fea191adac228	数据路径: /onesis/kt4/job_results/gwcorr12091730.shp; EPSG号: 0; 	\N	6	\N
fbff5961f51b478e84b862d92a25df3a		2024-10-09 11:47:43.379952	2024-10-09 11:47:30.866794	{"p":"/onesis/kt4/results/p1843860817141956608.tif","fel":"/onesis/kt4/results/fel1843860816990961664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843860816990961664.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054902\nData read time: 0.170434\nCompute Slope time: 0.388929\nWrite Slope time: 0.093995\nResolve Flat time: 2.545990\nWrite Flat time: 0.050024\nTotal time: 3.304274\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843860816990961664.tif; D8单流向栅格: /onesis/kt4/results/p1843860817141956608.tif; 	\N	6	6e59c58f-56a0-40f6-a42e-1ad71a0b0ea4
fac965669c5f42af86b8616af968430c		2024-10-09 11:33:47.703907	2024-10-09 11:33:42.884058	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843857343893340160.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.049301\nData read time: 0.066201\nCompute time: 0.306004\nWrite time: 0.091339\nTotal time: 0.512844\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843857343893340160.tif; 	\N	6	895244c4-4c68-4665-852a-d7182db4772b
7472860ff0c84c5da904b34541ffc4d5		2024-10-09 11:40:20.550593	2024-10-09 11:40:16.19371	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843858993672486912.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.051885\nData read time: 0.070470\nCompute time: 0.321472\nWrite time: 0.091729\nTotal time: 0.535556\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843858993672486912.tif; 	\N	6	28a8c734-fde4-4cc1-b9df-01a16a89ffd3
746a6e29b44042dba3662e33fb9ac56e		2024-10-09 11:40:28.688334	2024-10-09 11:40:16.13722	{"sd8":"/onesis/kt4/results/sd81843858993722818560.tif","fel":"/onesis/kt4/results/fel1843858993672486912.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843858993672486912.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.060318\nData read time: 0.168016\nCompute Slope time: 0.367670\nWrite Slope time: 0.107548\nResolve Flat time: 2.585565\nWrite Flat time: 0.051286\nTotal time: 3.340401\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843858993672486912.tif; 坡度栅格: /onesis/kt4/results/sd81843858993722818560.tif; 	\N	6	28a8c734-fde4-4cc1-b9df-01a16a89ffd3
bab35e4a9bce4a7a81bdde9a2ae7d759		2024-10-09 11:33:54.834066	2024-10-09 11:33:42.823167	{"sd8":"/onesis/kt4/results/sd81843857343947866112.tif","fel":"/onesis/kt4/results/fel1843857343893340160.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843857343893340160.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052262\nData read time: 0.149621\nCompute Slope time: 0.278379\nWrite Slope time: 0.107633\nResolve Flat time: 2.555919\nWrite Flat time: 0.048902\nTotal time: 3.192717\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843857343893340160.tif; 坡度栅格: /onesis/kt4/results/sd81843857343947866112.tif; 	\N	6	895244c4-4c68-4665-852a-d7182db4772b
124ddb68a3574de0bf46bac61b8aff68		2024-10-09 11:36:48.997555	2024-10-09 11:36:36.137905	{"p":"/onesis/kt4/results/p1843858070522953728.tif","fel":"/onesis/kt4/results/fel1843858070380347392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843858070380347392.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.096090\nData read time: 0.146816\nCompute Slope time: 0.446887\nWrite Slope time: 0.098425\nResolve Flat time: 2.567548\nWrite Flat time: 0.052996\nTotal time: 3.408762\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843858070380347392.tif; D8单流向栅格: /onesis/kt4/results/p1843858070522953728.tif; 	\N	6	ee8b462e-3b89-4f8e-ab1d-555656a555c8
5ffce224762344d4adddcc9185e6fe07		2024-10-09 11:33:55.843725	2024-10-09 11:33:42.851717	{"p":"/onesis/kt4/results/p1843857344056918016.tif","fel":"/onesis/kt4/results/fel1843857343893340160.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843857343893340160.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.058765\nData read time: 0.159753\nCompute Slope time: 0.386215\nWrite Slope time: 0.093016\nResolve Flat time: 2.379835\nWrite Flat time: 0.043241\nTotal time: 3.120826\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843857343893340160.tif; D8单流向栅格: /onesis/kt4/results/p1843857344056918016.tif; 	\N	6	895244c4-4c68-4665-852a-d7182db4772b
b591eb986b624a9e8c8a7f1e38be3576		\N	2025-01-05 16:14:52.135833	{"sca":"/onesis/kt4/xuancheng/result/ad81875818229742567424.tif","slp":"/onesis/kt4/xuancheng/result/sd81875818230388490240.tif","twi":"/onesis/kt4/xuancheng/result/twi1875818230594011136.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	汇流累积量: /onesis/kt4/xuancheng/result/ad81875818229742567424.tif; 地形湿度指数: /onesis/kt4/xuancheng/result/twi1875818230594011136.tif; 坡度: /onesis/kt4/xuancheng/result/sd81875818230388490240.tif; 	\N	0	f4011d59-b2a7-4550-b84a-8aa50f742864
abcd82b88df74319aef87088442d3e71		2024-10-09 11:36:48.993495	2024-10-09 11:36:36.110422	{"sd8":"/onesis/kt4/results/sd81843858070426484736.tif","fel":"/onesis/kt4/results/fel1843858070380347392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843858070380347392.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.088188\nData read time: 0.147144\nCompute Slope time: 0.441794\nWrite Slope time: 0.110607\nResolve Flat time: 2.550425\nWrite Flat time: 0.049935\nTotal time: 3.388092\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843858070380347392.tif; 坡度栅格: /onesis/kt4/results/sd81843858070426484736.tif; 	\N	6	ee8b462e-3b89-4f8e-ab1d-555656a555c8
099f6ded91db4ce39fb58ecdd5b99f94		2024-10-09 11:36:59.153326	2024-10-09 11:36:35.98041	{"sca":"/onesis/kt4/results/ad81843858070569091072.tif","slp":"/onesis/kt4/results/sd81843858070426484736.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843858070426484736.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843858070569091072.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037028\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843858070426484736.tif; 汇流累积量: /onesis/kt4/results/ad81843858070569091072.tif; 	\N	6	ee8b462e-3b89-4f8e-ab1d-555656a555c8
79274b9281b54aecbb9f5f572c9a5477		2024-10-09 11:40:28.692202	2024-10-09 11:40:16.165173	{"p":"/onesis/kt4/results/p1843858993861230592.tif","fel":"/onesis/kt4/results/fel1843858993672486912.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843858993672486912.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.055140\nData read time: 0.172202\nCompute Slope time: 0.395137\nWrite Slope time: 0.100040\nResolve Flat time: 2.529895\nWrite Flat time: 0.053133\nTotal time: 3.305549\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843858993672486912.tif; D8单流向栅格: /onesis/kt4/results/p1843858993861230592.tif; 	\N	6	28a8c734-fde4-4cc1-b9df-01a16a89ffd3
beb2db6e750e43ba9c063b3ef9745f52		2024-10-09 11:47:53.540971	2024-10-09 11:47:30.789818	{"sca":"/onesis/kt4/results/ad81843860817192288256.tif","slp":"/onesis/kt4/results/sd81843860817041293312.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843860817041293312.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843860817192288256.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.042170\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843860817041293312.tif; 汇流累积量: /onesis/kt4/results/ad81843860817192288256.tif; 	\N	6	6e59c58f-56a0-40f6-a42e-1ad71a0b0ea4
c8a6939cd37b4803992344e1e8a0f6bc		2024-10-10 21:34:39.391533	2024-10-10 21:34:34.856132	{"z":"/onesis/kt4/dsm_case/dem_xc.tif","fel":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_xc.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.065171\nData read time: 0.016878\nCompute time: 0.165507\nWrite time: 0.054310\nTotal time: 0.301865\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/dem_xc.tif; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
0ba886e6722a4a1b8a924a7010d6cd34		2024-10-09 11:52:50.109846	2024-10-09 11:52:27.288428	{"sca":"/onesis/kt4/results/ad81843862060753092608.tif","slp":"/onesis/kt4/results/sd81843862060501434368.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843862060501434368.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843862060753092608.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038194\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843862060501434368.tif; 汇流累积量: /onesis/kt4/results/ad81843862060753092608.tif; 	\N	6	0d62149e-63e6-463b-a060-3bef4d786bf7
d7965b67e2cf41f293bb76ffb2ace401		2024-10-09 16:25:13.829909	2024-10-09 16:24:50.682201	{"sca":"/onesis/kt4/results/ad81843930609945280512.tif","slp":"/onesis/kt4/results/sd81843930609790091264.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843930609790091264.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843930609945280512.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038509\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843930609790091264.tif; 汇流累积量: /onesis/kt4/results/ad81843930609945280512.tif; 	\N	6	f0b83f2a-e66d-4eb0-9956-d6dca2bea33c
50229b52a9c841a88dd7e244ecc9260b		2025-01-05 20:18:10.518203	2025-01-05 20:17:07.866022	{"zfactor":"1","i":"/onesis/kt4/xuancheng/result/fel1875879197063380992.tif","o":"/onesis/kt4/xuancheng/result/o1875879197650583552.tif"}	f	\N	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	Z 转换因子: 1; 输入栅格 DEM 文件: /onesis/kt4/xuancheng/result/fel1875879197063380992.tif; 输出栅格文件: /onesis/kt4/xuancheng/result/o1875879197650583552.tif; 	\N	7	e95e4a94-7559-454e-93ed-4909b5ae8154
313000c2c8f349e7aef8e4d6fcb58e9b		2024-10-09 11:40:38.860407	2024-10-09 11:40:16.086796	{"sca":"/onesis/kt4/results/ad81843858993911562240.tif","slp":"/onesis/kt4/results/sd81843858993722818560.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843858993722818560.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843858993911562240.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038510\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843858993722818560.tif; 汇流累积量: /onesis/kt4/results/ad81843858993911562240.tif; 	\N	6	28a8c734-fde4-4cc1-b9df-01a16a89ffd3
6bfce3d1bc8249819afc09c92b9677e0		2024-10-09 11:52:45.02111	2024-10-09 11:52:27.328145	{"p":"/onesis/kt4/results/p1843862060677595136.tif","ad8":"/onesis/kt4/results/ad81843862060753092608.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843862060677595136.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.105228\nCompute time: 0.306164\nWrite time: 0.074177\nTotal time: 0.485568\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843862060677595136.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843862060753092608.tif; 	\N	6	0d62149e-63e6-463b-a060-3bef4d786bf7
8d289a5e7de94fba91232f32840703db		2024-10-09 11:52:31.810124	2024-10-09 11:52:27.40899	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843862060446908416.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050727\nData read time: 0.066131\nCompute time: 0.307176\nWrite time: 0.091304\nTotal time: 0.515337\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843862060446908416.tif; 	\N	6	0d62149e-63e6-463b-a060-3bef4d786bf7
7a965b840bd44cf5b5cc0b5e88f8f911		2024-10-09 14:43:25.810877	2024-10-09 14:43:07.623498	{"p":"/onesis/kt4/results/p1843905011092946944.tif","ad8":"/onesis/kt4/results/ad81843905011147472896.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843905011092946944.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.102435\nCompute time: 0.304199\nWrite time: 0.073545\nTotal time: 0.480179\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843905011092946944.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843905011147472896.tif; 	\N	6	8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0
2e6cc23f70b842c1adac7574dae49f2a		2024-12-30 13:20:05.429071	2024-12-30 10:53:47.68362	{"p":"/onesis/kt4/job_results/1_ipsm/p1873563102151311360.tif","fel":"/onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif"}	f	\N	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/job_results/1_ipsm/fel1873563101576691712.tif; D8单流向栅格: /onesis/kt4/job_results/1_ipsm/p1873563102151311360.tif; 	\N	9	a3ee365e-19fe-4a0c-b527-4858a59265e1
a5c9b11137fb4cbcb950ae7c71d4ff25		2024-10-09 11:52:39.94615	2024-10-09 11:52:27.351691	{"sd8":"/onesis/kt4/results/sd81843862060501434368.tif","fel":"/onesis/kt4/results/fel1843862060446908416.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843862060446908416.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.060009\nData read time: 0.189154\nCompute Slope time: 0.403687\nWrite Slope time: 0.104499\nResolve Flat time: 2.447064\nWrite Flat time: 0.038286\nTotal time: 3.242699\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843862060446908416.tif; 坡度栅格: /onesis/kt4/results/sd81843862060501434368.tif; 	\N	6	0d62149e-63e6-463b-a060-3bef4d786bf7
680f623cc84149f986d0645abfe1001c		2024-10-09 14:41:25.241284	2024-10-09 14:41:06.993202	{"p":"/onesis/kt4/results/p1843904505725452288.tif","ad8":"/onesis/kt4/results/ad81843904505775783936.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843904505725452288.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.101635\nCompute time: 0.310403\nWrite time: 0.073044\nTotal time: 0.485082\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843904505725452288.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843904505775783936.tif; 	\N	6	4671caac-8bb7-408e-b5c7-42d7179cbaee
d9ee9e4cbe5845f082b88b49afbd25ff		2024-10-09 14:41:20.154485	2024-10-09 14:41:07.018643	{"sd8":"/onesis/kt4/results/sd81843904505612206080.tif","fel":"/onesis/kt4/results/fel1843904505553485824.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843904505553485824.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056011\nData read time: 0.178277\nCompute Slope time: 0.348971\nWrite Slope time: 0.107562\nResolve Flat time: 2.585669\nWrite Flat time: 0.049651\nTotal time: 3.326141\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843904505553485824.tif; 坡度栅格: /onesis/kt4/results/sd81843904505612206080.tif; 	\N	6	4671caac-8bb7-408e-b5c7-42d7179cbaee
97933d585f4046f79b9f496894214a11		2024-10-09 14:41:30.318931	2024-10-09 14:41:06.963434	{"sca":"/onesis/kt4/results/ad81843904505775783936.tif","slp":"/onesis/kt4/results/sd81843904505612206080.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843904505612206080.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843904505775783936.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039063\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843904505612206080.tif; 汇流累积量: /onesis/kt4/results/ad81843904505775783936.tif; 	\N	6	4671caac-8bb7-408e-b5c7-42d7179cbaee
125a361260f543849ac8df09b69b8d7a		2024-10-09 16:31:03.880869	2024-10-09 16:30:59.029785	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843932154040549376.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050629\nData read time: 0.069181\nCompute time: 0.318573\nWrite time: 0.089262\nTotal time: 0.527644\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843932154040549376.tif; 	\N	6	bd13ae12-35d1-47ef-8359-0d61984150aa
1a83e6d3ca764aeaafc7c485bbca34ba		\N	2025-01-05 17:32:20.088888	{"p":"/onesis/kt4/xuancheng/result/p1875837723781234688.tif","ad8":"/onesis/kt4/xuancheng/result/ad81875837723831566336.tif"}	f	\N	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/xuancheng/result/p1875837723781234688.tif; d8汇流累积量栅格: /onesis/kt4/xuancheng/result/ad81875837723831566336.tif; 	\N	0	2b175d24-3d52-45a5-ac1b-446c73264fe6
f89f9c578a3c4e6f98eac044bb51bd8a		2024-10-10 09:10:47.696731	2024-10-10 09:10:24.481051	{"sca":"/onesis/kt4/results/ad81844183668252344320.tif","slp":"/onesis/kt4/results/sd81844183668097155072.tif","twi":"/onesis/kt4/results/result_20241010.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81844183668097155072.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81844183668252344320.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037531\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/result_20241010.tif; 坡度: /onesis/kt4/results/sd81844183668097155072.tif; 汇流累积量: /onesis/kt4/results/ad81844183668252344320.tif; 	\N	6	05f56523-c427-48f4-9df6-4a1c3dfe5961
82c11cfd59374a50bbfd31c6302bfdf7		2024-10-09 14:44:43.889043	2024-10-09 14:44:21.809246	{"sca":"/onesis/kt4/results/ad81843905323048501248.tif","slp":"/onesis/kt4/results/sd81843905322905894912.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843905322905894912.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843905323048501248.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037929\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81843905322905894912.tif; 汇流累积量: /onesis/kt4/results/ad81843905323048501248.tif; 	\N	6	b025bd7c-d147-4972-a023-ef6039bc3586
ea7d75dd63174ee4acf77c0c3b2a1b6a		2024-10-09 14:41:20.158301	2024-10-09 14:41:07.046703	{"p":"/onesis/kt4/results/p1843904505725452288.tif","fel":"/onesis/kt4/results/fel1843904505553485824.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843904505553485824.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.060243\nData read time: 0.166101\nCompute Slope time: 0.381761\nWrite Slope time: 0.094201\nResolve Flat time: 2.505575\nWrite Flat time: 0.044413\nTotal time: 3.252294\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843904505553485824.tif; D8单流向栅格: /onesis/kt4/results/p1843904505725452288.tif; 	\N	6	4671caac-8bb7-408e-b5c7-42d7179cbaee
a9c1cdaaf1ce44d78608275d5df79e6c		2024-10-09 16:31:11.078043	2024-10-09 16:30:58.969618	{"sd8":"/onesis/kt4/results/sd81843932154090881024.tif","fel":"/onesis/kt4/results/fel1843932154040549376.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843932154040549376.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.053475\nData read time: 0.152619\nCompute Slope time: 0.261840\nWrite Slope time: 0.109339\nResolve Flat time: 2.614718\nWrite Flat time: 0.050429\nTotal time: 3.242419\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843932154040549376.tif; 坡度栅格: /onesis/kt4/results/sd81843932154090881024.tif; 	\N	6	bd13ae12-35d1-47ef-8359-0d61984150aa
ea76163573194c4289821be108175645		2024-10-10 09:07:05.871588	2024-10-10 09:06:53.48809	{"p":"/onesis/kt4/results/p1844182782859935744.tif","fel":"/onesis/kt4/results/fel1844182782721523712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844182782721523712.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.058121\nData read time: 0.177303\nCompute Slope time: 0.386659\nWrite Slope time: 0.094157\nResolve Flat time: 2.510610\nWrite Flat time: 0.045714\nTotal time: 3.272564\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844182782721523712.tif; D8单流向栅格: /onesis/kt4/results/p1844182782859935744.tif; 	\N	6	565354d1-f3c5-4c49-9d46-24769beb8f26
c7901634350c41ed8c3138bf2a573930		2024-10-10 09:07:11.03853	2024-10-10 09:06:53.439952	{"p":"/onesis/kt4/results/p1844182782859935744.tif","ad8":"/onesis/kt4/results/ad81844182782906073088.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1844182782859935744.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.105338\nCompute time: 0.302402\nWrite time: 0.073797\nTotal time: 0.481537\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844182782859935744.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844182782906073088.tif; 	\N	6	565354d1-f3c5-4c49-9d46-24769beb8f26
76ec712e7a6546fab8e1431fbf736f66		2024-10-09 14:45:21.382541	2024-10-09 14:45:16.486725	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843905551713566720.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.051917\nData read time: 0.072248\nCompute time: 0.323485\nWrite time: 0.096143\nTotal time: 0.543793\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843905551713566720.tif; 	\N	6	043c0e98-ceeb-41c2-8fb9-135f42b9b760
d1774a5a8dc746c8ba3fda86aedace38		2024-10-09 14:43:19.718278	2024-10-09 14:43:07.649457	{"sd8":"/onesis/kt4/results/sd81843905010988089344.tif","fel":"/onesis/kt4/results/fel1843905010933563392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905010933563392.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051036\nData read time: 0.150089\nCompute Slope time: 0.260485\nWrite Slope time: 0.106069\nResolve Flat time: 2.563644\nWrite Flat time: 0.048823\nTotal time: 3.180146\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843905010933563392.tif; 坡度栅格: /onesis/kt4/results/sd81843905010988089344.tif; 	\N	6	8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0
fea4387b77b94db482affc45b83e8e19		2024-10-09 16:31:12.098678	2024-10-09 16:30:58.999102	{"p":"/onesis/kt4/results/p1843932154187350016.tif","fel":"/onesis/kt4/results/fel1843932154040549376.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843932154040549376.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056779\nData read time: 0.169360\nCompute Slope time: 0.383453\nWrite Slope time: 0.094635\nResolve Flat time: 2.399687\nWrite Flat time: 0.044856\nTotal time: 3.148770\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843932154040549376.tif; D8单流向栅格: /onesis/kt4/results/p1843932154187350016.tif; 	\N	6	bd13ae12-35d1-47ef-8359-0d61984150aa
b7fc1420a7a04ede96753e36cfdf8dc5		2024-10-09 16:31:17.183622	2024-10-09 16:30:58.944032	{"p":"/onesis/kt4/results/p1843932154187350016.tif","ad8":"/onesis/kt4/results/ad81843932154237681664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843932154187350016.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.103334\nCompute time: 0.297523\nWrite time: 0.075097\nTotal time: 0.475954\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843932154187350016.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843932154237681664.tif; 	\N	6	bd13ae12-35d1-47ef-8359-0d61984150aa
10a9825449734134a4a31de5e4f901dd		2024-10-09 14:43:20.719997	2024-10-09 14:43:07.679913	{"p":"/onesis/kt4/results/p1843905011092946944.tif","fel":"/onesis/kt4/results/fel1843905010933563392.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905010933563392.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.069222\nData read time: 0.158550\nCompute Slope time: 0.385900\nWrite Slope time: 0.094155\nResolve Flat time: 2.444826\nWrite Flat time: 0.053083\nTotal time: 3.205736\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843905010933563392.tif; D8单流向栅格: /onesis/kt4/results/p1843905011092946944.tif; 	\N	6	8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0
8a7ceb142d08419cbcfd877086485d64		2024-10-09 14:43:30.907432	2024-10-09 14:43:07.499674	{"sca":"/onesis/kt4/results/ad81843905011147472896.tif","slp":"/onesis/kt4/results/sd81843905010988089344.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843905010988089344.tif has geographic coordinate system.\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nInput file /data/onesis/kt4/results/ad81843905011147472896.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.037857\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81843905010988089344.tif; 汇流累积量: /onesis/kt4/results/ad81843905011147472896.tif; 	\N	6	8be2d77b-a0a0-4125-bbdd-c6cd3eda3cd0
a696daf0d3e44a6ba2142f571347835f		2024-10-10 21:29:18.990168	2024-10-10 21:29:05.052121	{"sd8":"/onesis/kt4/dsm_case/result/sd81844369561168773120.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844369560166334464.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.066177\nData read time: 0.097298\nCompute Slope time: 0.148053\nWrite Slope time: 0.052182\nResolve Flat time: 2.780758\nWrite Flat time: 0.025026\nTotal time: 3.169493\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844369561168773120.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
e358b93c867b470f947315e30e6a409a		2024-10-09 14:44:38.815515	2024-10-09 14:44:21.839683	{"p":"/onesis/kt4/results/p1843905322998169600.tif","ad8":"/onesis/kt4/results/ad81843905323048501248.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843905322998169600.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.097330\nCompute time: 0.319570\nWrite time: 0.092651\nTotal time: 0.509550\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843905322998169600.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843905323048501248.tif; 	\N	6	b025bd7c-d147-4972-a023-ef6039bc3586
35ad95fb1375411886a3a8f61094c18f		2024-10-09 14:44:33.721926	2024-10-09 14:44:21.861936	{"sd8":"/onesis/kt4/results/sd81843905322905894912.tif","fel":"/onesis/kt4/results/fel1843905322855563264.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905322855563264.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052915\nData read time: 0.175725\nCompute Slope time: 0.364399\nWrite Slope time: 0.104822\nResolve Flat time: 2.550444\nWrite Flat time: 0.048422\nTotal time: 3.296727\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843905322855563264.tif; 坡度栅格: /onesis/kt4/results/sd81843905322905894912.tif; 	\N	6	b025bd7c-d147-4972-a023-ef6039bc3586
3a1394fbfc0447bc846794ac84723e0d		2024-10-09 16:31:22.273192	2024-10-09 16:30:58.900425	{"sca":"/onesis/kt4/results/ad81843932154237681664.tif","slp":"/onesis/kt4/results/sd81843932154090881024.tif","twi":"/onesis/kt4/results/123.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843932154090881024.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843932154237681664.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.051061\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/123.tif; 坡度: /onesis/kt4/results/sd81843932154090881024.tif; 汇流累积量: /onesis/kt4/results/ad81843932154237681664.tif; 	\N	6	bd13ae12-35d1-47ef-8359-0d61984150aa
f2803cb7499847309c09dad702020b90		2024-10-10 09:07:05.873198	2024-10-10 09:06:53.46221	{"sd8":"/onesis/kt4/results/sd81844182782767661056.tif","fel":"/onesis/kt4/results/fel1844182782721523712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844182782721523712.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.053695\nData read time: 0.206075\nCompute Slope time: 0.353736\nWrite Slope time: 0.105382\nResolve Flat time: 2.555041\nWrite Flat time: 0.049440\nTotal time: 3.323369\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844182782721523712.tif; 坡度栅格: /onesis/kt4/results/sd81844182782767661056.tif; 	\N	6	565354d1-f3c5-4c49-9d46-24769beb8f26
b7da48792f4a4959bd9663bad6eb027b		2024-10-09 14:45:39.692418	2024-10-09 14:45:16.381546	{"sca":"/onesis/kt4/results/ad81843905551923281920.tif","slp":"/onesis/kt4/results/sd81843905551768092672.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843905551768092672.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843905551923281920.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038178\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81843905551768092672.tif; 汇流累积量: /onesis/kt4/results/ad81843905551923281920.tif; 	\N	6	043c0e98-ceeb-41c2-8fb9-135f42b9b760
d9d90db6bf144171bed469b84a4d3708		\N	2024-10-10 08:58:12.877815	{"sd8":"/onesis/kt4/results/sd81844180598688710656.tif","fel":"/onesis/kt4/results/fel1844180598638379008.tif"}	f	\N	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844180598638379008.tif; 坡度栅格: /onesis/kt4/results/sd81844180598688710656.tif; 	\N	0	ac0b280c-e146-4c96-a79f-d57b111316e5
67951143c5d94719a8e1b4800ee98b62		\N	2024-10-10 08:58:12.910853	{"p":"/onesis/kt4/results/p1844180598793568256.tif","fel":"/onesis/kt4/results/fel1844180598638379008.tif"}	f	\N	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844180598638379008.tif; D8单流向栅格: /onesis/kt4/results/p1844180598793568256.tif; 	\N	0	ac0b280c-e146-4c96-a79f-d57b111316e5
892de7e233014463ba26453d9495f3ac		\N	2024-10-10 08:58:38.544124	{"sca":"/onesis/kt4/results/ad81844180707350544384.tif","slp":"/onesis/kt4/results/sd81844180707212132352.tif","twi":"/onesis/kt4/results/t_20241010.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/t_20241010.tif; 坡度: /onesis/kt4/results/sd81844180707212132352.tif; 汇流累积量: /onesis/kt4/results/ad81844180707350544384.tif; 	\N	0	2ca6de6e-1a91-4640-973c-71fdbebc9b51
c214e0877a4140e081ba5f03327c5524		\N	2024-10-10 08:58:38.569922	{"p":"/onesis/kt4/results/p1844180707304407040.tif","ad8":"/onesis/kt4/results/ad81844180707350544384.tif"}	f	\N	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844180707304407040.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844180707350544384.tif; 	\N	0	2ca6de6e-1a91-4640-973c-71fdbebc9b51
012f51c2030a469aa034212d8631f161		\N	2024-10-10 08:58:38.592144	{"sd8":"/onesis/kt4/results/sd81844180707212132352.tif","fel":"/onesis/kt4/results/fel1844180707161800704.tif"}	f	\N	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844180707161800704.tif; 坡度栅格: /onesis/kt4/results/sd81844180707212132352.tif; 	\N	0	2ca6de6e-1a91-4640-973c-71fdbebc9b51
98b388673a034d06aeeecec74bfc626f		\N	2024-10-10 08:58:38.618376	{"p":"/onesis/kt4/results/p1844180707304407040.tif","fel":"/onesis/kt4/results/fel1844180707161800704.tif"}	f	\N	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844180707161800704.tif; D8单流向栅格: /onesis/kt4/results/p1844180707304407040.tif; 	\N	0	2ca6de6e-1a91-4640-973c-71fdbebc9b51
78376c2d73294372a3b91aa378e69bce		2024-10-09 14:45:29.515027	2024-10-09 14:45:16.457843	{"p":"/onesis/kt4/results/p1843905551868755968.tif","fel":"/onesis/kt4/results/fel1843905551713566720.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905551713566720.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.055576\nData read time: 0.153635\nCompute Slope time: 0.399414\nWrite Slope time: 0.096000\nResolve Flat time: 2.531456\nWrite Flat time: 0.048877\nTotal time: 3.284957\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843905551713566720.tif; D8单流向栅格: /onesis/kt4/results/p1843905551868755968.tif; 	\N	6	043c0e98-ceeb-41c2-8fb9-135f42b9b760
86fd708a632e4644a36e3237d61caa67		2024-10-09 14:45:28.50179	2024-10-09 14:45:16.430382	{"sd8":"/onesis/kt4/results/sd81843905551768092672.tif","fel":"/onesis/kt4/results/fel1843905551713566720.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843905551713566720.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052419\nData read time: 0.185265\nCompute Slope time: 0.374113\nWrite Slope time: 0.104519\nResolve Flat time: 2.561992\nWrite Flat time: 0.051629\nTotal time: 3.329938\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843905551713566720.tif; 坡度栅格: /onesis/kt4/results/sd81843905551768092672.tif; 	\N	6	043c0e98-ceeb-41c2-8fb9-135f42b9b760
fd22c0a4af614da6bf87146e8a6fe007		2024-10-09 14:57:01.595095	2024-10-09 14:56:57.290667	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843908491140530176.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.050026\nData read time: 0.065803\nCompute time: 0.304401\nWrite time: 0.090472\nTotal time: 0.510702\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843908491140530176.tif; 	\N	6	009b3712-75ca-4204-a2ad-786d5a7a4fd4
cc3cb644479f4d448ddaf7f29f2673dd		2024-10-09 16:20:41.43239	2024-10-09 16:20:36.946818	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1843929544801779712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.053679\nData read time: 0.069815\nCompute time: 0.311788\nWrite time: 0.089488\nTotal time: 0.524769\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1843929544801779712.tif; 	\N	6	94a3f072-f3de-4fc6-8e90-ba88344a565b
822788762050485b872f5252f014286f		2024-10-10 08:59:13.508732	2024-10-10 08:58:12.94367	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844180598638379008.tif"}	f	\N	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844180598638379008.tif; 	\N	7	ac0b280c-e146-4c96-a79f-d57b111316e5
47dfeba43c0c499c95c1a546f64a93c4		2024-10-10 21:34:46.349411	2024-10-10 21:34:34.728454	{"zfactor":"1","i":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif","o":"/onesis/kt4/dsm_case/result/o1844370944185991168.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.21s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 输出数据: /onesis/kt4/dsm_case/result/o1844370944185991168.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
d49781f675784aeb97ec1fd479190c02		2024-10-09 14:57:09.748469	2024-10-09 14:56:57.237616	{"sd8":"/onesis/kt4/results/sd81843908491195056128.tif","fel":"/onesis/kt4/results/fel1843908491140530176.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843908491140530176.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.057122\nData read time: 0.175938\nCompute Slope time: 0.362054\nWrite Slope time: 0.106593\nResolve Flat time: 2.605564\nWrite Flat time: 0.050981\nTotal time: 3.358253\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843908491140530176.tif; 坡度栅格: /onesis/kt4/results/sd81843908491195056128.tif; 	\N	6	009b3712-75ca-4204-a2ad-786d5a7a4fd4
73b1e062fea04f5a94e2eab4147b8b9e		2024-10-09 14:57:19.880439	2024-10-09 14:56:57.19288	{"sca":"/onesis/kt4/results/ad81843908491346051072.tif","slp":"/onesis/kt4/results/sd81843908491195056128.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843908491195056128.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843908491346051072.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038696\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81843908491195056128.tif; 汇流累积量: /onesis/kt4/results/ad81843908491346051072.tif; 	\N	6	009b3712-75ca-4204-a2ad-786d5a7a4fd4
b5d0d119054b415396583abd3c11b67a		2024-10-10 21:29:19.983779	2024-10-10 21:29:05.137727	{"fel":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif","plan":"/onesis/kt4/dsm_case/result/plan1844369560438964224.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/dsm_case/result/fel1844369560166334464.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.168910\nCompute time: 0.079933\nWrite time: 0.072046\nTotal time: 0.320890\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 平面曲率栅格: /onesis/kt4/dsm_case/result/plan1844369560438964224.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
200ee6a59b144c9f90bb9e830cf52fb1		2024-10-10 08:59:33.409405	2024-10-10 08:58:38.64659	{"z":"/onesis/kt4/test_data/terr/terr/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844180707161800704.tif"}	f	\N	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/test_data/terr/terr/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844180707161800704.tif; 	\N	7	2ca6de6e-1a91-4640-973c-71fdbebc9b51
31359431bfbc4965bdb2ecb77939f05d		2024-10-10 09:07:15.858286	2024-10-10 09:06:53.393862	{"sca":"/onesis/kt4/results/ad81844182782906073088.tif","slp":"/onesis/kt4/results/sd81844182782767661056.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81844182782767661056.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81844182782906073088.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.043224\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81844182782767661056.tif; 汇流累积量: /onesis/kt4/results/ad81844182782906073088.tif; 	\N	6	565354d1-f3c5-4c49-9d46-24769beb8f26
ab3b695b727844eaaf72aa92fe1f85db		2024-12-05 17:31:49.152034	2024-12-05 17:31:45.258762	{"epsg":"0","file":"/onesis/kt4/test_data/terr/result/slope_dir.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/gdal.py:312: FutureWarning: Neither gdal.UseExceptions() nor gdal.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nslope_dir.tif is in WGS84 or based on WGS84.\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:cfa2f4a3c0a84c06a72b30dc9959c5f9	数据路径: /onesis/kt4/test_data/terr/result/slope_dir.tif; EPSG号: 0; 	\N	6	\N
b7bf309b7ebe43318cf9aa2e0be25da2		2024-10-09 14:57:09.753106	2024-10-09 14:56:57.262819	{"p":"/onesis/kt4/results/p1843908491295719424.tif","fel":"/onesis/kt4/results/fel1843908491140530176.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843908491140530176.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.056517\nData read time: 0.176723\nCompute Slope time: 0.400605\nWrite Slope time: 0.094791\nResolve Flat time: 2.541287\nWrite Flat time: 0.049743\nTotal time: 3.319667\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843908491140530176.tif; D8单流向栅格: /onesis/kt4/results/p1843908491295719424.tif; 	\N	6	009b3712-75ca-4204-a2ad-786d5a7a4fd4
79176ff85d4d4d02a6e282b0dd856b02		2024-10-09 16:20:59.753105	2024-10-09 16:20:36.795491	{"sca":"/onesis/kt4/results/ad81843929545045049344.tif","slp":"/onesis/kt4/results/sd81843929544860499968.tif","twi":"/onesis/kt4/results/111.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81843929544860499968.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81843929545045049344.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.040047\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/111.tif; 坡度: /onesis/kt4/results/sd81843929544860499968.tif; 汇流累积量: /onesis/kt4/results/ad81843929545045049344.tif; 	\N	6	94a3f072-f3de-4fc6-8e90-ba88344a565b
aa498aa8a06545f6a50943d3bca661d7		2024-10-10 09:54:57.709091	2024-10-10 09:54:39.942154	{"p":"/onesis/kt4/results/p1844194805832351744.tif","ad8":"/onesis/kt4/results/ad81844194805907849216.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1844194805832351744.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.104253\nCompute time: 0.309515\nWrite time: 0.072695\nTotal time: 0.486463\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844194805832351744.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844194805907849216.tif; 	\N	6	81c55e7a-d08e-4312-ae8a-a3464d53e8af
cc9df5d7f055479d88720e9451c29390		2024-10-10 09:10:29.392643	2024-10-10 09:10:24.58921	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844183668042629120.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.052875\nData read time: 0.074767\nCompute time: 0.319285\nWrite time: 0.092605\nTotal time: 0.539532\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844183668042629120.tif; 	\N	6	05f56523-c427-48f4-9df6-4a1c3dfe5961
5e14aec6f972489ba56e4deedb05b502		2024-10-10 09:05:31.553066	2024-10-10 09:05:27.138796	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844182420363018240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.055942\nData read time: 0.083509\nCompute time: 0.335726\nWrite time: 0.101694\nTotal time: 0.576871\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844182420363018240.tif; 	\N	6	239f977e-4093-42f5-bf68-7581b6709ab5
b043819c8cd24d03b1474fb68ab0e144		2024-12-08 21:53:03.057642	2024-12-08 21:52:09.279511	{"op":"/onesis/kt4/data/rf_workflow/process_data/road_distance.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/road/road.shp","height":"69"}	t	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=b043819c8cd24d03b1474fb68ab0e144, listenThread=thread9}\n        managedFields: null\n        name: b043819c8cd24d03b1474fb68ab0e144\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=b043819c8cd24d03b1474fb68ab0e144}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-sfp, /data/onesis/kt4/data/rf_workflow/origin_data/road/road.shp, -width, 94, -height, 69, -op, /data/onesis/kt4/data/rf_workflow/process_data/road_distance.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/distance_analysis:1.0-scipy\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: b043819c8cd24d03b1474fb68ab0e144\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	a12bb857-2e6e-3c1b-b998-2464a04038a5	欧氏距离分析(道路)-215204	输入文件: /onesis/kt4/data/rf_workflow/origin_data/road/road.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/road_distance.tif; 	\N	7	\N
520defea462147eca8dc8d205fb4aa09		2024-10-10 09:10:37.542295	2024-10-10 09:10:24.559819	{"p":"/onesis/kt4/results/p1844183668202012672.tif","fel":"/onesis/kt4/results/fel1844183668042629120.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844183668042629120.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.059725\nData read time: 0.160141\nCompute Slope time: 0.386384\nWrite Slope time: 0.092649\nResolve Flat time: 2.358602\nWrite Flat time: 0.043014\nTotal time: 3.100514\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844183668042629120.tif; D8单流向栅格: /onesis/kt4/results/p1844183668202012672.tif; 	\N	6	05f56523-c427-48f4-9df6-4a1c3dfe5961
9947d2a11c7a4b4394d73772f6e23394		2024-10-10 09:54:44.500249	2024-10-10 09:54:40.024913	{"z":"/onesis/kt4/dem/dem_meixi.tif","fel":"/onesis/kt4/results/fel1844194805542944768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dem/dem_meixi.tif has geographic coordinate system.\nNodata value input to create partition from file: 32767.000000\nNodata value recast to float used in partition raster: 32767.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.055186\nData read time: 0.068800\nCompute time: 0.312729\nWrite time: 0.089572\nTotal time: 0.526287\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dem/dem_meixi.tif; 数字高程模型: /onesis/kt4/results/fel1844194805542944768.tif; 	\N	6	81c55e7a-d08e-4312-ae8a-a3464d53e8af
25d158a6bb7149ec9f6f8c6403314640		2024-10-09 16:20:54.663018	2024-10-09 16:20:36.85182	{"p":"/onesis/kt4/results/p1843929544982134784.tif","ad8":"/onesis/kt4/results/ad81843929545045049344.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1843929544982134784.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.098359\nCompute time: 0.289052\nWrite time: 0.074120\nTotal time: 0.461531\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1843929544982134784.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81843929545045049344.tif; 	\N	6	94a3f072-f3de-4fc6-8e90-ba88344a565b
45b62fb6c62844c8955b916fd347440f		2024-12-03 22:15:56.398323	2024-12-03 22:14:05.876488	{"r":"/onesis/kt4/test_data/regr/_whhp/res/gwr_12032200.shp","d":"Avg_HP_","f":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp","h":"/onesis/kt4/test_data/regr/_whhp/res/gwr_12032200.txt","i":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nWelcome to GWmodel version 2.4-2.\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\nAdaptive bandwidth: 608 CV score: 4931652259 \nAdaptive bandwidth: 384 CV score: 4621822585 \nAdaptive bandwidth: 243 CV score: 4317770528 \nAdaptive bandwidth: 159 CV score: 3999864046 \nAdaptive bandwidth: 103 CV score: 3555264484 \nAdaptive bandwidth: 73 CV score: 3112592636 \nAdaptive bandwidth: 49 CV score: 2677670093 \nAdaptive bandwidth: 40 CV score: 2480203795 \nAdaptive bandwidth: 28 CV score: 2137250825 \nAdaptive bandwidth: 27 CV score: 2102239615 \nAdaptive bandwidth: 20 CV score: 1853862103 \nAdaptive bandwidth: 22 CV score: 1931146014 \nAdaptive bandwidth: 25 CV score: 2034885238 \nAdaptive bandwidth: 23 CV score: 1964631132 \nAdaptive bandwidth: 24 CV score: 1996840684 \nAdaptive bandwidth: 23 CV score: 1964631132 \nAdaptive bandwidth: 23 CV score: 1964631132 \nAdaptive bandwidth: 22 CV score: 1931146014 \nAdaptive bandwidth: 22 CV score: 1931146014 \nAdaptive bandwidth: 21 CV score: 1890399406 \nAdaptive bandwidth: 21 CV score: 1890399406 \nAdaptive bandwidth: 20 CV score: 1853862103 \n   ***********************************************************************\n   *                       Package   GWmodel                             *\n   ***********************************************************************\n   Program starts at: 2024-12-03 14:15:51 \n   Call:\n   gwr.basic(formula = gwrformula, data = spdata, bw = bw, kernel = kernel, \n    adaptive = adaptive, parallel.method = "omp")\n\n   Dependent (y) variable:  Avg_HP_\n   Independent variables:  nrst_ds Avg_Gr_ Av_GDP_\n   Number of data points: 973\n   ***********************************************************************\n   *                    Results of Global Regression                     *\n   ***********************************************************************\n\n   Call:\n    lm(formula = formula, data = data)\n\n   Residuals:\n    Min      1Q  Median      3Q     Max \n-7060.0 -1462.6   -49.1  1402.0  8474.4 \n\n   Coefficients:\n                 Estimate Std. Error t value Pr(>|t|)    \n   (Intercept)  1.527e+04  1.610e+02  94.793  < 2e-16 ***\n   nrst_ds     -1.025e+00  4.449e-02 -23.036  < 2e-16 ***\n   Avg_Gr_      2.898e+03  6.784e+02   4.272 2.12e-05 ***\n   Av_GDP_      2.672e-01  7.199e-02   3.711 0.000218 ***\n\n   ---Significance stars\n   Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 \n   Residual standard error: 2375 on 969 degrees of freedom\n   Multiple R-squared: 0.3857\n   Adjusted R-squared: 0.3838 \n   F-statistic: 202.8 on 3 and 969 DF,  p-value: < 2.2e-16 \n   ***Extra Diagnostic information\n   Residual sum of squares: 5464608038\n   Sigma(hat): 2372.302\n   AIC:  17892.82\n   AICc:  17892.88\n   BIC:  16978.62\n   ***********************************************************************\n   *          Results of Geographically Weighted Regression              *\n   ***********************************************************************\n\n   *********************Model calibration information*********************\n   Kernel function: gaussian \n   Adaptive bandwidth: 20 (number of nearest neighbours)\n   Regression points: the same locations as observations are used.\n   Distance metric: Euclidean distance metric is used.\n\n   ****************Summary of GWR coefficient estimates:******************\n                    Min.     1st Qu.      Median     3rd Qu.       Max.\n   Intercept  1.0674e+04  1.3557e+04  1.5206e+04  1.6345e+04 21833.2078\n   nrst_ds   -3.0572e+00 -8.8351e-01 -4.6088e-01  4.2278e-03     1.4104\n   Avg_Gr_   -3.2202e+03  3.1662e+02  1.8977e+03  3.5756e+03 10513.6440\n   Av_GDP_   -2.2696e+00 -2.3138e-01  4.0109e-02  2.7502e-01     1.3326\n   ************************Diagnostic information*************************\n   Number of data points: 973 \n   Effective number of parameters (2trace(S) - trace(S'S)): 121.6069 \n   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 851.3931 \n   AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 16846.29 \n   AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 16739.18 \n   BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 16279.37 \n   Residual sum of squares: 1542237099 \n   R-square value:  0.8266273 \n   Adjusted R-square value:  0.8018349 \n\n   ***********************************************************************\n   Program stops at: 2024-12-03 14:15:52 \nWarning message:\nIn abbreviate_shapefile_names(obj) :\n  Field names abbreviated for ESRI Shapefile driver\n	7bc9fe36-321c-3222-a938-32033f92aa03	地理加权回归(txt输入自变量)	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp; txt变量顺序: /onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt; 因变量: Avg_HP_; 结果空间数据: /onesis/kt4/test_data/regr/_whhp/res/gwr_12032200.shp; 模型诊断信息: /onesis/kt4/test_data/regr/_whhp/res/gwr_12032200.txt; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
350b59cf8a064c268557fb80b1c22261		2024-10-09 16:20:48.581562	2024-10-09 16:20:36.876905	{"sd8":"/onesis/kt4/results/sd81843929544860499968.tif","fel":"/onesis/kt4/results/fel1843929544801779712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843929544801779712.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.051375\nData read time: 0.165204\nCompute Slope time: 0.342513\nWrite Slope time: 0.108394\nResolve Flat time: 2.539814\nWrite Flat time: 0.049348\nTotal time: 3.256647\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1843929544801779712.tif; 坡度栅格: /onesis/kt4/results/sd81843929544860499968.tif; 	\N	6	94a3f072-f3de-4fc6-8e90-ba88344a565b
c72c169cb10f42d3a9c6925fb034f62c		2024-10-10 09:10:42.625628	2024-10-10 09:10:24.508106	{"p":"/onesis/kt4/results/p1844183668202012672.tif","ad8":"/onesis/kt4/results/ad81844183668252344320.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1844183668202012672.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.097934\nCompute time: 0.294532\nWrite time: 0.072935\nTotal time: 0.465401\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844183668202012672.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844183668252344320.tif; 	\N	6	05f56523-c427-48f4-9df6-4a1c3dfe5961
4c47c73de97d4012a44e20998f664df5		2024-10-10 11:30:13.101275	2024-10-10 11:29:54.912116	{"p":"/onesis/kt4/results/p1844218776233574400.tif","ad8":"/onesis/kt4/results/ad81844218776283906048.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/results/p1844218776233574400.tif has geographic coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.107251\nCompute time: 0.316548\nWrite time: 0.075157\nTotal time: 0.498955\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/results/p1844218776233574400.tif; d8汇流累积量栅格: /onesis/kt4/results/ad81844218776283906048.tif; 	\N	6	4f8ce1fe-0a30-483f-a488-7964f9822719
7cf468f0cbdd43e39356180cc2f0dd43		2024-10-10 11:30:18.171533	2024-10-10 11:29:54.88734	{"sca":"/onesis/kt4/results/ad81844218776283906048.tif","slp":"/onesis/kt4/results/sd81844218776137105408.tif","twi":"/onesis/kt4/results/result_202410101130.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81844218776137105408.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81844218776283906048.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.039272\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/result_202410101130.tif; 坡度: /onesis/kt4/results/sd81844218776137105408.tif; 汇流累积量: /onesis/kt4/results/ad81844218776283906048.tif; 	\N	6	4f8ce1fe-0a30-483f-a488-7964f9822719
b4253e6a76604e1b89efd613c58bcfdf		2024-10-09 16:20:49.583926	2024-10-09 16:20:36.910529	{"p":"/onesis/kt4/results/p1843929544982134784.tif","fel":"/onesis/kt4/results/fel1843929544801779712.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1843929544801779712.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.057579\nData read time: 0.162501\nCompute Slope time: 0.383834\nWrite Slope time: 0.093782\nResolve Flat time: 2.479683\nWrite Flat time: 0.045097\nTotal time: 3.222475\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1843929544801779712.tif; D8单流向栅格: /onesis/kt4/results/p1843929544982134784.tif; 	\N	6	94a3f072-f3de-4fc6-8e90-ba88344a565b
8b95b240611b4c9cac79948478b8c8db		\N	2024-12-03 22:14:06.123403	{"r":"/onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.shp","d":"Avg_HP_","f":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp","h":"/onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.txt","i":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nWelcome to GWmodel version 2.4-2.\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\n------ Calculate the initial bandwidths for each independent variable ------\nNow select an optimum bandwidth for the model:  Avg_HP_~1 \n[1] "bws0[i]<-bw.gwr(Avg_HP_~1,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18299.55 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18260.68 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18209.78 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18139.43 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 18016.53 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17891.42 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17718.69 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17574.95 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17263.57 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17236.96 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17056.31 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17186.07 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17162.1 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17083.57 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17083.57 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17056.31 \nNow select an optimum bandwidth for the model:  Avg_HP_~nrst_ds \n[1] "bws0[i]<-bw.gwr(Avg_HP_~nrst_ds,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 17810.04 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 17750.68 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 17692.35 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 17626.43 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 17515.19 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17363.8 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17189.96 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17108.97 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 16958.06 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 16941.56 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 16812.46 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 16908.88 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 16888.9 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 16832.33 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 16832.33 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 16812.46 \nNow select an optimum bandwidth for the model:  Avg_HP_~Avg_Gr_ \n[1] "bws0[i]<-bw.gwr(Avg_HP_~Avg_Gr_,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18288.38 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18250.24 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18201.17 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18132.91 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 18008.87 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17884.83 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17714.94 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17572.88 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17268.76 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17242.3 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17076.92 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17195.41 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17173.62 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17102.67 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17102.67 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17076.92 \nNow select an optimum bandwidth for the model:  Avg_HP_~Av_GDP_ \n[1] "bws0[i]<-bw.gwr(Avg_HP_~Av_GDP_,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18259.82 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18214.62 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18153.52 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18074.02 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 17949.8 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17837.02 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17680.15 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17550.1 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17262.7 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17236.42 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17066.01 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17188.14 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17165.78 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17092.01 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17092.01 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17066.01 \n------            The end for the initial selections              ------\nCalculate the initial beta0 from the above bandwidths.\nEnd of calculating the inital beta0.\nFind the optimum bandwidths for each independent variable.\n\tIteration 1\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable Intercept will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable nrst_ds will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 545\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 525\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable Av_GDP_ will be continually selected in the next iteration.\nIteration 1 change of RSS (dCVR) is 0.227236.\n\tIteration 2\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 81\nThe bandwidth used in the last iteration is: 545 and the difference in bandwidths is: 464\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 2\nThe bandwidth for variable Av_GDP_ will be continually selected in the next iteration.\nIteration 2 change of RSS (dCVR) is 0.130641.\n\tIteration 3\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 81 and the difference in bandwidths is: 12\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nIteration 3 change of RSS (dCVR) is 0.0698372.\n\tIteration 4\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nIteration 4 change of RSS (dCVR) is 0.0830211.\n\tIteration 5\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 4 times. It will be continually optimized in the next 1 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 4 times. It will be continually optimized in the next 1 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nIteration 5 change of RSS (dCVR) is 0.0585722.\n\tIteration 6\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged and will be kept the same in the following iterations.\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged and will be kept the same in the following iterations.\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 4 times. It will be continually optimized in the next 1 times\nIteration 6 change of RSS (dCVR) is 0.0420334.\n\tIteration 7\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 6\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged and will be kept the same in the following iterations.\nIteration 7 change of RSS (dCVR) is 0.0129626.\n\tIteration 8\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nIteration 8 change of RSS (dCVR) is 0.0288156.\n\tIteration 9\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nIteration 9 change of RSS (dCVR) is 0.0157794.\n\tIteration 10\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nIteration 10 change of RSS (dCVR) is 0.00166599.\n\tIteration 11\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 4 times. It will be continually optimized in the next 1 times\nIteration 11 change of RSS (dCVR) is 0.0108984.\n\tIteration 12\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged and will be kept the same in the following iterations.\nIteration 12 change of RSS (dCVR) is 0.0134445.\n\tIteration 13\nIteration 13 change of RSS (dCVR) is 0.0145317.\n\tIteration 14\nIteration 14 change of RSS (dCVR) is 0.0149677.\n\tIteration 15\nIteration 15 change of RSS (dCVR) is 0.0150649.\n\tIteration 16\nIteration 16 change of RSS (dCVR) is 0.0149756.\n\tIteration 17\nIteration 17 change of RSS (dCVR) is 0.0147825.\n\tIteration 18\nIteration 18 change of RSS (dCVR) is 0.0145329.\n\tIteration 19\nIteration 19 change of RSS (dCVR) is 0.0142544.\n\tIteration 20\nIteration 20 change of RSS (dCVR) is 0.013963.\n\tIteration 21\nIteration 21 change of RSS (dCVR) is 0.0136678.\n\tIteration 22\nIteration 22 change of RSS (dCVR) is 0.0133738.\n\tIteration 23\nIteration 23 change of RSS (dCVR) is 0.0130836.\n\tIteration 24\nIteration 24 change of RSS (dCVR) is 0.0127986.\n\tIteration 25\nIteration 25 change of RSS (dCVR) is 0.012519.\n\tIteration 26\nIteration 26 change of RSS (dCVR) is 0.0122449.\n\tIteration 27\nIteration 27 change of RSS (dCVR) is 0.0119762.\n\tIteration 28\nIteration 28 change of RSS (dCVR) is 0.0117125.\n\tIteration 29\nIteration 29 change of RSS (dCVR) is 0.0114537.\n\tIteration 30\nIteration 30 change of RSS (dCVR) is 0.0111995.\n\tIteration 31\nIteration 31 change of RSS (dCVR) is 0.0109496.\n\tIteration 32\nIteration 32 change of RSS (dCVR) is 0.0107041.\n\tIteration 33\nIteration 33 change of RSS (dCVR) is 0.0104627.\n\tIteration 34\nIteration 34 change of RSS (dCVR) is 0.0102254.\n\tIteration 35\nIteration 35 change of RSS (dCVR) is 0.00999205.\n\tIteration 36\nIteration 36 change of RSS (dCVR) is 0.00976268.\n\tIteration 37\nIteration 37 change of RSS (dCVR) is 0.00953724.\n\tIteration 38\nIteration 38 change of RSS (dCVR) is 0.0093157.\n\tIteration 39\nIteration 39 change of RSS (dCVR) is 0.00909803.\n\tIteration 40\nIteration 40 change of RSS (dCVR) is 0.00888422.\n\tIteration 41\nIteration 41 change of RSS (dCVR) is 0.00867424.\n\tIteration 42\nIteration 42 change of RSS (dCVR) is 0.00846807.\n\tIteration 43\nIteration 43 change of RSS (dCVR) is 0.00826568.\n\tIteration 44\nIteration 44 change of RSS (dCVR) is 0.00806705.\n\tIteration 45\nIteration 45 change of RSS (dCVR) is 0.00787216.\n\tIteration 46\nIteration 46 change of RSS (dCVR) is 0.00768095.\n\tIteration 47\nIteration 47 change of RSS (dCVR) is 0.00749341.\n\tIteration 48\nIteration 48 change of RSS (dCVR) is 0.00730949.\n\tIteration 49\nIteration 49 change of RSS (dCVR) is 0.00712914.\n\tIteration 50\nIteration 50 change of RSS (dCVR) is 0.00695234.\n\tIteration 51\nIteration 51 change of RSS (dCVR) is 0.00677903.\n\tIteration 52\nIteration 52 change of RSS (dCVR) is 0.00660916.\n\tIteration 53\nIteration 53 change of RSS (dCVR) is 0.00644269.\n\tIteration 54\nIteration 54 change of RSS (dCVR) is 0.00627957.\n\tIteration 55\nIteration 55 change of RSS (dCVR) is 0.00611974.\n\tIteration 56\nIteration 56 change of RSS (dCVR) is 0.00596316.\n\tIteration 57\nIteration 57 change of RSS (dCVR) is 0.00580977.\n\tIteration 58\nIteration 58 change of RSS (dCVR) is 0.00565952.\n\tIteration 59\nIteration 59 change of RSS (dCVR) is 0.00551235.\n\tIteration 60\nIteration 60 change of RSS (dCVR) is 0.00536821.\n\tIteration 61\nIteration 61 change of RSS (dCVR) is 0.00522705.\n\tIteration 62\nIteration 62 change of RSS (dCVR) is 0.00508881.\n\tIteration 63\nIteration 63 change of RSS (dCVR) is 0.00495343.\n\tIteration 64\nIteration 64 change of RSS (dCVR) is 0.00482086.\n\tIteration 65\nIteration 65 change of RSS (dCVR) is 0.00469105.\n\tIteration 66\nIteration 66 change of RSS (dCVR) is 0.00456393.\n\tIteration 67\nIteration 67 change of RSS (dCVR) is 0.00443946.\n\tIteration 68\nIteration 68 change of RSS (dCVR) is 0.00431758.\n\tIteration 69\nIteration 69 change of RSS (dCVR) is 0.00419824.\n\tIteration 70\nIteration 70 change of RSS (dCVR) is 0.00408138.\n\tIteration 71\nIteration 71 change of RSS (dCVR) is 0.00396694.\n\tIteration 72\nIteration 72 change of RSS (dCVR) is 0.00385488.\n\tIteration 73\nIteration 73 change of RSS (dCVR) is 0.00374515.\n\tIteration 74\nIteration 74 change of RSS (dCVR) is 0.00363768.\n\tIteration 75\nIteration 75 change of RSS (dCVR) is 0.00353242.\n\tIteration 76\nIteration 76 change of RSS (dCVR) is 0.00342934.\n\tIteration 77\nIteration 77 change of RSS (dCVR) is 0.00332836.\n\tIteration 78\nIteration 78 change of RSS (dCVR) is 0.00322945.\n\tIteration 79\nIteration 79 change of RSS (dCVR) is 0.00313254.\n\tIteration 80\nIteration 80 change of RSS (dCVR) is 0.0030376.\n\tIteration 81\nIteration 81 change of RSS (dCVR) is 0.00294456.\n\tIteration 82\nIteration 82 change of RSS (dCVR) is 0.00285339.\n\tIteration 83\nIteration 83 change of RSS (dCVR) is 0.00276402.\n\tIteration 84\nIteration 84 change of RSS (dCVR) is 0.00267642.\n\tIteration 85\nIteration 85 change of RSS (dCVR) is 0.00259052.\n\tIteration 86\nIteration 86 change of RSS (dCVR) is 0.00250628.\n\tIteration 87\nIteration 87 change of RSS (dCVR) is 0.00242365.\n\tIteration 88\nIteration 88 change of RSS (dCVR) is 0.00234258.\n\tIteration 89\nIteration 89 change of RSS (dCVR) is 0.00226302.\n\tIteration 90\nIteration 90 change of RSS (dCVR) is 0.00218492.\n\tIteration 91\nIteration 91 change of RSS (dCVR) is 0.00210823.\n\tIteration 92\nIteration 92 change of RSS (dCVR) is 0.00203288.\n\tIteration 93\nIteration 93 change of RSS (dCVR) is 0.00195884.\n\tIteration 94\nIteration 94 change of RSS (dCVR) is 0.00188605.\n\tIteration 95\nIteration 95 change of RSS (dCVR) is 0.00181444.\n\tIteration 96\nIteration 96 change of RSS (dCVR) is 0.00174396.\n\tIteration 97\nIteration 97 change of RSS (dCVR) is 0.00167455.\n\tIteration 98\nIteration 98 change of RSS (dCVR) is 0.00160614.\n\tIteration 99\nIteration 99 change of RSS (dCVR) is 0.00153867.\n\tIteration 100\nIteration 100 change of RSS (dCVR) is 0.00147207.\n\tIteration 101\nIteration 101 change of RSS (dCVR) is 0.00140625.\n\tIteration 102\nIteration 102 change of RSS (dCVR) is 0.00134112.\n\tIteration 103\nIteration 103 change of RSS (dCVR) is 0.0012766.\n\tIteration 104\nIteration 104 change of RSS (dCVR) is 0.00121258.\n\tIteration 105\nIteration 105 change of RSS (dCVR) is 0.00114893.\n\tIteration 106\nIteration 106 change of RSS (dCVR) is 0.00108552.\n\tIteration 107\nIteration 107 change of RSS (dCVR) is 0.00102219.\n\tIteration 108\nIteration 108 change of RSS (dCVR) is 0.000958721.\n\tIteration 109\nIteration 109 change of RSS (dCVR) is 0.000894887.\n\tIteration 110\nIteration 110 change of RSS (dCVR) is 0.000830376.\n\tIteration 111\nIteration 111 change of RSS (dCVR) is 0.000764786.\n\tIteration 112\nIteration 112 change of RSS (dCVR) is 0.000697573.\n\tIteration 113\nIteration 113 change of RSS (dCVR) is 0.000627961.\n\tIteration 114\nIteration 114 change of RSS (dCVR) is 0.000554773.\n\tIteration 115\nIteration 115 change of RSS (dCVR) is 0.000476059.\n\tIteration 116\nIteration 116 change of RSS (dCVR) is 0.000388119.\n\tIteration 117\nIteration 117 change of RSS (dCVR) is 0.000281994.\n\tIteration 118\nIteration 118 change of RSS (dCVR) is 0.000114165.\n\tIteration 119\nIteration 119 change of RSS (dCVR) is 0.000221502.\n\tIteration 120\nIteration 120 change of RSS (dCVR) is 0.000327105.\n\tIteration 121\nIteration 121 change of RSS (dCVR) is 0.000401232.\n\tIteration 122\nIteration 122 change of RSS (dCVR) is 0.000459607.\n\tIteration 123\nIteration 123 change of RSS (dCVR) is 0.000507886.\n\tIteration 124\nIteration 124 change of RSS (dCVR) is 0.000548912.\n\tIteration 125\nIteration 125 change of RSS (dCVR) is 0.000584366.\n\tIteration 126\nIteration 126 change of RSS (dCVR) is 0.000615352.\n\tIteration 127\nIteration 127 change of RSS (dCVR) is 0.000642641.\n\tIteration 128\nIteration 128 change of RSS (dCVR) is 0.000666802.\n\tIteration 129\nIteration 129 change of RSS (dCVR) is 0.000688273.\n\tIteration 130\nIteration 130 change of RSS (dCVR) is 0.000707395.\n\tIteration 131\nIteration 131 change of RSS (dCVR) is 0.000724447.\n\tIteration 132\nIteration 132 change of RSS (dCVR) is 0.000739656.\n\tIteration 133\nIteration 133 change of RSS (dCVR) is 0.000753215.\n\tIteration 134\nIteration 134 change of RSS (dCVR) is 0.000765284.\n\tIteration 135\nIteration 135 change of RSS (dCVR) is 0.000776004.\n\tIteration 136\nIteration 136 change of RSS (dCVR) is 0.000785495.\n\tIteration 137\nIteration 137 change of RSS (dCVR) is 0.000793862.\n\tIteration 138\nIteration 138 change of RSS (dCVR) is 0.000801199.\n\tIteration 139\nIteration 139 change of RSS (dCVR) is 0.00080759.\n\tIteration 140\nIteration 140 change of RSS (dCVR) is 0.000813106.\n\tIteration 141\nIteration 141 change of RSS (dCVR) is 0.000817816.\n\tIteration 142\nIteration 142 change of RSS (dCVR) is 0.000821779.\n\tIteration 143\nIteration 143 change of RSS (dCVR) is 0.000825049.\n\tIteration 144\nIteration 144 change of RSS (dCVR) is 0.000827675.\n\tIteration 145\nIteration 145 change of RSS (dCVR) is 0.000829704.\n\tIteration 146\nIteration 146 change of RSS (dCVR) is 0.000831176.\n\tIteration 147\nIteration 147 change of RSS (dCVR) is 0.000832129.\n\tIteration 148\nIteration 148 change of RSS (dCVR) is 0.000832598.\n\tIteration 149\nIteration 149 change of RSS (dCVR) is 0.000832616.\n\tIteration 150\nIteration 150 change of RSS (dCVR) is 0.000832212.\n\tIteration 151\nIteration 151 change of RSS (dCVR) is 0.000831415.\n\tIteration 152\nIteration 152 change of RSS (dCVR) is 0.00083025.\n\tIteration 153\nIteration 153 change of RSS (dCVR) is 0.00082874.\n\tIteration 154\nIteration 154 change of RSS (dCVR) is 0.00082691.\n\tIteration 155\nIteration 155 change of RSS (dCVR) is 0.000824778.\n\tIteration 156\nIteration 156 change of RSS (dCVR) is 0.000822365.\n\tIteration 157\nIteration 157 change of RSS (dCVR) is 0.00081969.\n\tIteration 158\nIteration 158 change of RSS (dCVR) is 0.000816769.\n\tIteration 159\nIteration 159 change of RSS (dCVR) is 0.000813618.\n\tIteration 160\nIteration 160 change of RSS (dCVR) is 0.000810252.\n\tIteration 161\nIteration 161 change of RSS (dCVR) is 0.000806687.\n\tIteration 162\nIteration 162 change of RSS (dCVR) is 0.000802934.\n\tIteration 163\nIteration 163 change of RSS (dCVR) is 0.000799007.\n\tIteration 164\nIteration 164 change of RSS (dCVR) is 0.000794917.\n\tIteration 165\nIteration 165 change of RSS (dCVR) is 0.000790676.\n\tIteration 166\nIteration 166 change of RSS (dCVR) is 0.000786294.\n\tIteration 167\nIteration 167 change of RSS (dCVR) is 0.000781781.\n\tIteration 168\nIteration 168 change of RSS (dCVR) is 0.000777147.\n\tIteration 169\nIteration 169 change of RSS (dCVR) is 0.0007724.\n\tIteration 170\nIteration 170 change of RSS (dCVR) is 0.00076755.\n\tIteration 171\nIteration 171 change of RSS (dCVR) is 0.000762602.\n\tIteration 172\nIteration 172 change of RSS (dCVR) is 0.000757566.\n\tIteration 173\nIteration 173 change of RSS (dCVR) is 0.000752449.\n\tIteration 174\nIteration 174 change of RSS (dCVR) is 0.000747257.\n\tIteration 175\nIteration 175 change of RSS (dCVR) is 0.000741996.\n\tIteration 176\nIteration 176 change of RSS (dCVR) is 0.000736672.\n\tIteration 177\nIteration 177 change of RSS (dCVR) is 0.000731292.\n\tIteration 178\nIteration 178 change of RSS (dCVR) is 0.000725861.\n\tIteration 179\nIteration 179 change of RSS (dCVR) is 0.000720384.\n\tIteration 180\nIteration 180 change of RSS (dCVR) is 0.000714865.\n\tIteration 181\nIteration 181 change of RSS (dCVR) is 0.00070931.\n\tIteration 182\nIteration 182 change of RSS (dCVR) is 0.000703722.\n\tIteration 183\nIteration 183 change of RSS (dCVR) is 0.000698107.\n\tIteration 184\nIteration 184 change of RSS (dCVR) is 0.000692467.\n\tIteration 185\nIteration 185 change of RSS (dCVR) is 0.000686807.\n\tIteration 186\nIteration 186 change of RSS (dCVR) is 0.00068113.\n\tIteration 187\nIteration 187 change of RSS (dCVR) is 0.00067544.\n\tIteration 188\nIteration 188 change of RSS (dCVR) is 0.000669739.\n\tIteration 189\nIteration 189 change of RSS (dCVR) is 0.000664031.\n\tIteration 190\nIteration 190 change of RSS (dCVR) is 0.000658319.\n\tIteration 191\nIteration 191 change of RSS (dCVR) is 0.000652604.\n\tIteration 192\nIteration 192 change of RSS (dCVR) is 0.000646891.\n\tIteration 193\nIteration 193 change of RSS (dCVR) is 0.000641181.\n\tIteration 194\nIteration 194 change of RSS (dCVR) is 0.000635477.\n\tIteration 195\nIteration 195 change of RSS (dCVR) is 0.00062978.\n\tIteration 196\nIteration 196 change of RSS (dCVR) is 0.000624093.\n\tIteration 197\nIteration 197 change of RSS (dCVR) is 0.000618419.\n\tIteration 198\nIteration 198 change of RSS (dCVR) is 0.000612757.\n\tIteration 199\nIteration 199 change of RSS (dCVR) is 0.000607111.\n\tIteration 200\nIteration 200 change of RSS (dCVR) is 0.000601483.\n\tIteration 201\nIteration 201 change of RSS (dCVR) is 0.000595872.\n\tIteration 202\nIteration 202 change of RSS (dCVR) is 0.000590282.\n\tIteration 203\nIteration 203 change of RSS (dCVR) is 0.000584714.\n\tIteration 204\nIteration 204 change of RSS (dCVR) is 0.000579168.\n\tIteration 205\nIteration 205 change of RSS (dCVR) is 0.000573646.\n\tIteration 206\nIteration 206 change of RSS (dCVR) is 0.00056815.\n\tIteration 207\nIteration 207 change of RSS (dCVR) is 0.000562679.\n\tIteration 208\nIteration 208 change of RSS (dCVR) is 0.000557236.\n\tIteration 209\nIteration 209 change of RSS (dCVR) is 0.000551822.\n\tIteration 210\nIteration 210 change of RSS (dCVR) is 0.000546436.\n\tIteration 211\nIteration 211 change of RSS (dCVR) is 0.000541081.\n\tIteration 212\nIteration 212 change of RSS (dCVR) is 0.000535756.\n\tIteration 213\nIteration 213 change of RSS (dCVR) is 0.000530463.\n\tIteration 214\nIteration 214 change of RSS (dCVR) is 0.000525202.\n\tIteration 215\nIteration 215 change of RSS (dCVR) is 0.000519974.\n\tIteration 216\nIteration 216 change of RSS (dCVR) is 0.000514779.\n\tIteration 217\nIteration 217 change of RSS (dCVR) is 0.000509619.\n\tIteration 218\nIteration 218 change of RSS (dCVR) is 0.000504493.\n\tIteration 219\nIteration 219 change of RSS (dCVR) is 0.000499402.\n\tIteration 220\nIteration 220 change of RSS (dCVR) is 0.000494346.\n\tIteration 221\nIteration 221 change of RSS (dCVR) is 0.000489327.\n\tIteration 222\nIteration 222 change of RSS (dCVR) is 0.000484343.\n\tIteration 223\nIteration 223 change of RSS (dCVR) is 0.000479396.\n\tIteration 224\nIteration 224 change of RSS (dCVR) is 0.000474486.\n\tIteration 225\nIteration 225 change of RSS (dCVR) is 0.000469613.\n\tIteration 226\nIteration 226 change of RSS (dCVR) is 0.000464778.\n\tIteration 227\nIteration 227 change of RSS (dCVR) is 0.00045998.\n\tIteration 228\nIteration 228 change of RSS (dCVR) is 0.000455219.\n\tIteration 229\nIteration 229 change of RSS (dCVR) is 0.000450497.\n\tIteration 230\nIteration 230 change of RSS (dCVR) is 0.000445813.\n\tIteration 231\nIteration 231 change of RSS (dCVR) is 0.000441167.\n\tIteration 232\nIteration 232 change of RSS (dCVR) is 0.000436559.\n\tIteration 233\nIteration 233 change of RSS (dCVR) is 0.000431989.\n\tIteration 234\nIteration 234 change of RSS (dCVR) is 0.000427458.\n\tIteration 235\nIteration 235 change of RSS (dCVR) is 0.000422966.\n\tIteration 236\nIteration 236 change of RSS (dCVR) is 0.000418512.\n\tIteration 237\nIteration 237 change of RSS (dCVR) is 0.000414096.\n\tIteration 238\nIteration 238 change of RSS (dCVR) is 0.000409719.\n\tIteration 239\nIteration 239 change of RSS (dCVR) is 0.00040538.\n\tIteration 240\nIteration 240 change of RSS (dCVR) is 0.000401079.\n\tIteration 241\nIteration 241 change of RSS (dCVR) is 0.000396817.\n\tIteration 242\nIteration 242 change of RSS (dCVR) is 0.000392594.\n\tIteration 243\nIteration 243 change of RSS (dCVR) is 0.000388408.\n\tIteration 244\nIteration 244 change of RSS (dCVR) is 0.00038426.\n\tIteration 245\nIteration 245 change of RSS (dCVR) is 0.000380151.\n\tIteration 246\nIteration 246 change of RSS (dCVR) is 0.000376079.\n\tIteration 247\nIteration 247 change of RSS (dCVR) is 0.000372045.\n\tIteration 248\nIteration 248 change of RSS (dCVR) is 0.000368049.\n\tIteration 249\nIteration 249 change of RSS (dCVR) is 0.00036409.\n\tIteration 250\nIteration 250 change of RSS (dCVR) is 0.000360169.\n\tIteration 251\nIteration 251 change of RSS (dCVR) is 0.000356285.\n\tIteration 252\nIteration 252 change of RSS (dCVR) is 0.000352438.\n\tIteration 253\nIteration 253 change of RSS (dCVR) is 0.000348627.\n\tIteration 254\nIteration 254 change of RSS (dCVR) is 0.000344853.\n\tIteration 255\nIteration 255 change of RSS (dCVR) is 0.000341116.\n\tIteration 256\nIteration 256 change of RSS (dCVR) is 0.000337415.\n\tIteration 257\nIteration 257 change of RSS (dCVR) is 0.00033375.\n\tIteration 258\nIteration 258 change of RSS (dCVR) is 0.000330121.\n\tIteration 259\nIteration 259 change of RSS (dCVR) is 0.000326527.\n\tIteration 260\nIteration 260 change of RSS (dCVR) is 0.000322969.\n\tIteration 261\nIteration 261 change of RSS (dCVR) is 0.000319447.\n\tIteration 262\nIteration 262 change of RSS (dCVR) is 0.000315959.\n\tIteration 263\nIteration 263 change of RSS (dCVR) is 0.000312506.\n\tIteration 264\nIteration 264 change of RSS (dCVR) is 0.000309088.\n\tIteration 265\nIteration 265 change of RSS (dCVR) is 0.000305703.\n\tIteration 266\nIteration 266 change of RSS (dCVR) is 0.000302353.\n\tIteration 267\nIteration 267 change of RSS (dCVR) is 0.000299037.\n\tIteration 268\nIteration 268 change of RSS (dCVR) is 0.000295755.\n\tIteration 269\nIteration 269 change of RSS (dCVR) is 0.000292506.\n\tIteration 270\nIteration 270 change of RSS (dCVR) is 0.00028929.\n\tIteration 271\nIteration 271 change of RSS (dCVR) is 0.000286106.\n\tIteration 272\nIteration 272 change of RSS (dCVR) is 0.000282956.\n\tIteration 273\nIteration 273 change of RSS (dCVR) is 0.000279838.\n\tIteration 274\nIteration 274 change of RSS (dCVR) is 0.000276752.\n\tIteration 275\nIteration 275 change of RSS (dCVR) is 0.000273698.\n\tIteration 276\nIteration 276 change of RSS (dCVR) is 0.000270675.\n\tIteration 277\nIteration 277 change of RSS (dCVR) is 0.000267684.\n\tIteration 278\nIteration 278 change of RSS (dCVR) is 0.000264724.\n\tIteration 279\nIteration 279 change of RSS (dCVR) is 0.000261795.\n\tIteration 280\nIteration 280 change of RSS (dCVR) is 0.000258896.\n\tIteration 281\nIteration 281 change of RSS (dCVR) is 0.000256028.\n\tIteration 282\nIteration 282 change of RSS (dCVR) is 0.00025319.\n\tIteration 283\nIteration 283 change of RSS (dCVR) is 0.000250382.\n\tIteration 284\nIteration 284 change of RSS (dCVR) is 0.000247603.\n\tIteration 285\nIteration 285 change of RSS (dCVR) is 0.000244854.\n\tIteration 286\nIteration 286 change of RSS (dCVR) is 0.000242133.\n\tIteration 287\nIteration 287 change of RSS (dCVR) is 0.000239442.\n\tIteration 288\nIteration 288 change of RSS (dCVR) is 0.000236779.\n\tIteration 289\nIteration 289 change of RSS (dCVR) is 0.000234144.\n\tIteration 290\nIteration 290 change of RSS (dCVR) is 0.000231538.\n\tIteration 291\nIteration 291 change of RSS (dCVR) is 0.000228959.\n\tIteration 292\nIteration 292 change of RSS (dCVR) is 0.000226408.\n\tIteration 293\nIteration 293 change of RSS (dCVR) is 0.000223884.\n\tIteration 294\nIteration 294 change of RSS (dCVR) is 0.000221387.\n\tIteration 295\nIteration 295 change of RSS (dCVR) is 0.000218917.\n\tIteration 296\nIteration 296 change of RSS (dCVR) is 0.000216473.\n\tIteration 297\nIteration 297 change of RSS (dCVR) is 0.000214056.\n\tIteration 298\nIteration 298 change of RSS (dCVR) is 0.000211664.\n\tIteration 299\nIteration 299 change of RSS (dCVR) is 0.000209299.\n\tIteration 300\nIteration 300 change of RSS (dCVR) is 0.000206959.\n\tIteration 301\nIteration 301 change of RSS (dCVR) is 0.000204644.\n\tIteration 302\nIteration 302 change of RSS (dCVR) is 0.000202354.\n\tIteration 303\nIteration 303 change of RSS (dCVR) is 0.00020009.\n\tIteration 304\nIteration 304 change of RSS (dCVR) is 0.000197849.\n\tIteration 305\nIteration 305 change of RSS (dCVR) is 0.000195633.\n\tIteration 306\nIteration 306 change of RSS (dCVR) is 0.000193441.\n\tIteration 307\nIteration 307 change of RSS (dCVR) is 0.000191273.\n\tIteration 308\nIteration 308 change of RSS (dCVR) is 0.000189129.\n\tIteration 309\nIteration 309 change of RSS (dCVR) is 0.000187008.\n\tIteration 310\nIteration 310 change of RSS (dCVR) is 0.00018491.\n\tIteration 311\nIteration 311 change of RSS (dCVR) is 0.000182835.\n\tIteration 312\nIteration 312 change of RSS (dCVR) is 0.000180783.\n\tIteration 313\nIteration 313 change of RSS (dCVR) is 0.000178753.\n\tIteration 314\nIteration 314 change of RSS (dCVR) is 0.000176746.\n\tIteration 315\nIteration 315 change of RSS (dCVR) is 0.00017476.\n\tIteration 316\nIteration 316 change of RSS (dCVR) is 0.000172797.\n\tIteration 317\nIteration 317 change of RSS (dCVR) is 0.000170854.\n\tIteration 318\nIteration 318 change of RSS (dCVR) is 0.000168934.\n\tIteration 319\nIteration 319 change of RSS (dCVR) is 0.000167034.\n\tIteration 320\nIteration 320 change of RSS (dCVR) is 0.000165155.\n\tIteration 321\nIteration 321 change of RSS (dCVR) is 0.000163297.\n\tIteration 322\nIteration 322 change of RSS (dCVR) is 0.00016146.\n\tIteration 323\nIteration 323 change of RSS (dCVR) is 0.000159642.\n\tIteration 324\nIteration 324 change of RSS (dCVR) is 0.000157845.\n\tIteration 325\nIteration 325 change of RSS (dCVR) is 0.000156068.\n\tIteration 326\nIteration 326 change of RSS (dCVR) is 0.00015431.\n\tIteration 327\nIteration 327 change of RSS (dCVR) is 0.000152572.\n\tIteration 328\nIteration 328 change of RSS (dCVR) is 0.000150853.\n\tIteration 329\nIteration 329 change of RSS (dCVR) is 0.000149153.\n\tIteration 330\nIteration 330 change of RSS (dCVR) is 0.000147472.\n\tIteration 331\nIteration 331 change of RSS (dCVR) is 0.000145809.\n\tIteration 332\nIteration 332 change of RSS (dCVR) is 0.000144165.\n\tIteration 333\nIteration 333 change of RSS (dCVR) is 0.000142539.\n\tIteration 334\nIteration 334 change of RSS (dCVR) is 0.000140931.\n\tIteration 335\nIteration 335 change of RSS (dCVR) is 0.000139342.\n\tIteration 336\nIteration 336 change of RSS (dCVR) is 0.000137769.\n\tIteration 337\nIteration 337 change of RSS (dCVR) is 0.000136215.\n\tIteration 338\nIteration 338 change of RSS (dCVR) is 0.000134677.\n\tIteration 339\nIteration 339 change of RSS (dCVR) is 0.000133157.\n\tIteration 340\nIteration 340 change of RSS (dCVR) is 0.000131654.\n\tIteration 341\nIteration 341 change of RSS (dCVR) is 0.000130167.\n\tIteration 342\nIteration 342 change of RSS (dCVR) is 0.000128697.\n\tIteration 343\nIteration 343 change of RSS (dCVR) is 0.000127243.\n\tIteration 344\nIteration 344 change of RSS (dCVR) is 0.000125806.\n\tIteration 345\nIteration 345 change of RSS (dCVR) is 0.000124385.\n\tIteration 346\nIteration 346 change of RSS (dCVR) is 0.000122979.\n\tIteration 347\nIteration 347 change of RSS (dCVR) is 0.000121589.\n\tIteration 348\nIteration 348 change of RSS (dCVR) is 0.000120215.\n\tIteration 349\nIteration 349 change of RSS (dCVR) is 0.000118856.\n\tIteration 350\nIteration 350 change of RSS (dCVR) is 0.000117513.\n\tIteration 351\nIteration 351 change of RSS (dCVR) is 0.000116184.\n\tIteration 352\nIteration 352 change of RSS (dCVR) is 0.00011487.\n\tIteration 353\nIteration 353 change of RSS (dCVR) is 0.000113571.\n\tIteration 354\nIteration 354 change of RSS (dCVR) is 0.000112287.\n\tIteration 355\nIteration 355 change of RSS (dCVR) is 0.000111017.\n\tIteration 356\nIteration 356 change of RSS (dCVR) is 0.000109761.\n\tIteration 357\nIteration 357 change of RSS (dCVR) is 0.000108519.\n\tIteration 358\nIteration 358 change of RSS (dCVR) is 0.000107291.\n\tIteration 359\nIteration 359 change of RSS (dCVR) is 0.000106077.\n\tIteration 360\nIteration 360 change of RSS (dCVR) is 0.000104877.\n\tIteration 361\nIteration 361 change of RSS (dCVR) is 0.00010369.\n\tIteration 362\nIteration 362 change of RSS (dCVR) is 0.000102516.\n\tIteration 363\nIteration 363 change of RSS (dCVR) is 0.000101356.\n\tIteration 364\nIteration 364 change of RSS (dCVR) is 0.000100208.\n\tIteration 365\nIteration 365 change of RSS (dCVR) is 9.90736e-05.\n\tIteration 366\nIteration 366 change of RSS (dCVR) is 9.79518e-05.\n\tIteration 367\nIteration 367 change of RSS (dCVR) is 9.68426e-05.\n\tIteration 368\nIteration 368 change of RSS (dCVR) is 9.5746e-05.\n\tIteration 369\nIteration 369 change of RSS (dCVR) is 9.46616e-05.\n\tIteration 370\nIteration 370 change of RSS (dCVR) is 9.35895e-05.\n\tIteration 371\nIteration 371 change of RSS (dCVR) is 9.25294e-05.\n\tIteration 372\nIteration 372 change of RSS (dCVR) is 9.14812e-05.\n\tIteration 373\nIteration 373 change of RSS (dCVR) is 9.04449e-05.\n\tIteration 374\nIteration 374 change of RSS (dCVR) is 8.94202e-05.\n\tIteration 375\nIteration 375 change of RSS (dCVR) is 8.84071e-05.\n\tIteration 376\nIteration 376 change of RSS (dCVR) is 8.74053e-05.\n\tIteration 377\nIteration 377 change of RSS (dCVR) is 8.64149e-05.\n\tIteration 378\nIteration 378 change of RSS (dCVR) is 8.54357e-05.\n\tIteration 379\nIteration 379 change of RSS (dCVR) is 8.44674e-05.\n\tIteration 380\nIteration 380 change of RSS (dCVR) is 8.35101e-05.\n\tIteration 381\nIteration 381 change of RSS (dCVR) is 8.25636e-05.\n\tIteration 382\nIteration 382 change of RSS (dCVR) is 8.16277e-05.\n\tIteration 383\nIteration 383 change of RSS (dCVR) is 8.07024e-05.\n\tIteration 384\nIteration 384 change of RSS (dCVR) is 7.97876e-05.\n\tIteration 385\nIteration 385 change of RSS (dCVR) is 7.88831e-05.\n\tIteration 386\nIteration 386 change of RSS (dCVR) is 7.79888e-05.\n\tIteration 387\nIteration 387 change of RSS (dCVR) is 7.71045e-05.\n\tIteration 388\nIteration 388 change of RSS (dCVR) is 7.62303e-05.\n\tIteration 389\nIteration 389 change of RSS (dCVR) is 7.53659e-05.\n\tIteration 390\nIteration 390 change of RSS (dCVR) is 7.45113e-05.\n\tIteration 391\nIteration 391 change of RSS (dCVR) is 7.36664e-05.\n\tIteration 392\nIteration 392 change of RSS (dCVR) is 7.28309e-05.\n\tIteration 393\nIteration 393 change of RSS (dCVR) is 7.2005e-05.\n\tIteration 394\nIteration 394 change of RSS (dCVR) is 7.11883e-05.\n\tIteration 395\nIteration 395 change of RSS (dCVR) is 7.03809e-05.\n\tIteration 396\nIteration 396 change of RSS (dCVR) is 6.95826e-05.\n\tIteration 397\nIteration 397 change of RSS (dCVR) is 6.87934e-05.\n\tIteration 398\nIteration 398 change of RSS (dCVR) is 6.8013e-05.\n\tIteration 399\nIteration 399 change of RSS (dCVR) is 6.72415e-05.\n\tIteration 400\nIteration 400 change of RSS (dCVR) is 6.64787e-05.\n\tIteration 401\nIteration 401 change of RSS (dCVR) is 6.57245e-05.\n\tIteration 402\nIteration 402 change of RSS (dCVR) is 6.49789e-05.\n\tIteration 403\nIteration 403 change of RSS (dCVR) is 6.42417e-05.\n\tIteration 404\nIteration 404 change of RSS (dCVR) is 6.35128e-05.\n\tIteration 405\nIteration 405 change of RSS (dCVR) is 6.27922e-05.\n\tIteration 406\nIteration 406 change of RSS (dCVR) is 6.20797e-05.\n\tIteration 407\nIteration 407 change of RSS (dCVR) is 6.13753e-05.\n\tIteration 408\nIteration 408 change of RSS (dCVR) is 6.06788e-05.\n\tIteration 409\nIteration 409 change of RSS (dCVR) is 5.99903e-05.\n\tIteration 410\nIteration 410 change of RSS (dCVR) is 5.93095e-05.\n\tIteration 411\nIteration 411 change of RSS (dCVR) is 5.86365e-05.\n\tIteration 412\nIteration 412 change of RSS (dCVR) is 5.7971e-05.\n\tIteration 413\nIteration 413 change of RSS (dCVR) is 5.73131e-05.\n\tIteration 414\nIteration 414 change of RSS (dCVR) is 5.66627e-05.\n\tIteration 415\nIteration 415 change of RSS (dCVR) is 5.60196e-05.\n\tIteration 416\nIteration 416 change of RSS (dCVR) is 5.53838e-05.\n\tIteration 417\nIteration 417 change of RSS (dCVR) is 5.47552e-05.\n\tIteration 418\nIteration 418 change of RSS (dCVR) is 5.41337e-05.\n\tIteration 419\nIteration 419 change of RSS (dCVR) is 5.35192e-05.\n\tIteration 420\nIteration 420 change of RSS (dCVR) is 5.29117e-05.\n\tIteration 421\nIteration 421 change of RSS (dCVR) is 5.23111e-05.\n\tIteration 422\nIteration 422 change of RSS (dCVR) is 5.17173e-05.\n\tIteration 423\nIteration 423 change of RSS (dCVR) is 5.11302e-05.\n\tIteration 424\nIteration 424 change of RSS (dCVR) is 5.05498e-05.\n\tIteration 425\nIteration 425 change of RSS (dCVR) is 4.9976e-05.\n\tIteration 426\nIteration 426 change of RSS (dCVR) is 4.94086e-05.\n\tIteration 427\nIteration 427 change of RSS (dCVR) is 4.88477e-05.\n\tIteration 428\nIteration 428 change of RSS (dCVR) is 4.82932e-05.\n\tIteration 429\nIteration 429 change of RSS (dCVR) is 4.77449e-05.\n\tIteration 430\nIteration 430 change of RSS (dCVR) is 4.72028e-05.\n\tIteration 431\nIteration 431 change of RSS (dCVR) is 4.66669e-05.\n\tIteration 432\nIteration 432 change of RSS (dCVR) is 4.61371e-05.\n\tIteration 433\nIteration 433 change of RSS (dCVR) is 4.56132e-05.\n\tIteration 434\nIteration 434 change of RSS (dCVR) is 4.50953e-05.\n\tIteration 435\nIteration 435 change of RSS (dCVR) is 4.45833e-05.\n\tIteration 436\nIteration 436 change of RSS (dCVR) is 4.40771e-05.\n\tIteration 437\nIteration 437 change of RSS (dCVR) is 4.35766e-05.\n\tIteration 438\nIteration 438 change of RSS (dCVR) is 4.30818e-05.\n\tIteration 439\nIteration 439 change of RSS (dCVR) is 4.25926e-05.\n\tIteration 440\nIteration 440 change of RSS (dCVR) is 4.2109e-05.\n\tIteration 441\nIteration 441 change of RSS (dCVR) is 4.16308e-05.\n\tIteration 442\nIteration 442 change of RSS (dCVR) is 4.11581e-05.\n\tIteration 443\nIteration 443 change of RSS (dCVR) is 4.06907e-05.\n\tIteration 444\nIteration 444 change of RSS (dCVR) is 4.02286e-05.\n\tIteration 445\nIteration 445 change of RSS (dCVR) is 3.97718e-05.\n\tIteration 446\nIteration 446 change of RSS (dCVR) is 3.93202e-05.\n\tIteration 447\nIteration 447 change of RSS (dCVR) is 3.88736e-05.\n\tIteration 448\nIteration 448 change of RSS (dCVR) is 3.84322e-05.\n\tIteration 449\nIteration 449 change of RSS (dCVR) is 3.79957e-05.\n\tIteration 450\nIteration 450 change of RSS (dCVR) is 3.75642e-05.\n\tIteration 451\nIteration 451 change of RSS (dCVR) is 3.71376e-05.\n\tIteration 452\nIteration 452 change of RSS (dCVR) is 3.67158e-05.\n\tIteration 453\nIteration 453 change of RSS (dCVR) is 3.62989e-05.\n\tIteration 454\nIteration 454 change of RSS (dCVR) is 3.58866e-05.\n\tIteration 455\nIteration 455 change of RSS (dCVR) is 3.5479e-05.\n\tIteration 456\nIteration 456 change of RSS (dCVR) is 3.50761e-05.\n\tIteration 457\nIteration 457 change of RSS (dCVR) is 3.46777e-05.\n\tIteration 458\nIteration 458 change of RSS (dCVR) is 3.42839e-05.\n\tIteration 459\nIteration 459 change of RSS (dCVR) is 3.38945e-05.\n\tIteration 460\nIteration 460 change of RSS (dCVR) is 3.35095e-05.\n\tIteration 461\nIteration 461 change of RSS (dCVR) is 3.31289e-05.\n\tIteration 462\nIteration 462 change of RSS (dCVR) is 3.27526e-05.\n\tIteration 463\nIteration 463 change of RSS (dCVR) is 3.23806e-05.\n\tIteration 464\nIteration 464 change of RSS (dCVR) is 3.20128e-05.\n\tIteration 465\nIteration 465 change of RSS (dCVR) is 3.16492e-05.\n\tIteration 466\nIteration 466 change of RSS (dCVR) is 3.12897e-05.\n\tIteration 467\nIteration 467 change of RSS (dCVR) is 3.09343e-05.\n\tIteration 468\nIteration 468 change of RSS (dCVR) is 3.0583e-05.\n\tIteration 469\nIteration 469 change of RSS (dCVR) is 3.02356e-05.\n\tIteration 470\nIteration 470 change of RSS (dCVR) is 2.98921e-05.\n\tIteration 471\nIteration 471 change of RSS (dCVR) is 2.95526e-05.\n\tIteration 472\nIteration 472 change of RSS (dCVR) is 2.92169e-05.\n\tIteration 473\nIteration 473 change of RSS (dCVR) is 2.8885e-05.\n\tIteration 474\nIteration 474 change of RSS (dCVR) is 2.85569e-05.\n\tIteration 475\nIteration 475 change of RSS (dCVR) is 2.82325e-05.\n\tIteration 476\nIteration 476 change of RSS (dCVR) is 2.79118e-05.\n\tIteration 477\nIteration 477 change of RSS (dCVR) is 2.75948e-05.\n\tIteration 478\nIteration 478 change of RSS (dCVR) is 2.72813e-05.\n\tIteration 479\nIteration 479 change of RSS (dCVR) is 2.69714e-05.\n\tIteration 480\nIteration 480 change of RSS (dCVR) is 2.6665e-05.\n\tIteration 481\nIteration 481 change of RSS (dCVR) is 2.63621e-05.\n\tIteration 482\nIteration 482 change of RSS (dCVR) is 2.60627e-05.\n\tIteration 483\nIteration 483 change of RSS (dCVR) is 2.57666e-05.\n\tIteration 484\nIteration 484 change of RSS (dCVR) is 2.54739e-05.\n\tIteration 485\nIteration 485 change of RSS (dCVR) is 2.51845e-05.\n\tIteration 486\nIteration 486 change of RSS (dCVR) is 2.48984e-05.\n\tIteration 487\nIteration 487 change of RSS (dCVR) is 2.46156e-05.\n\tIteration 488\nIteration 488 change of RSS (dCVR) is 2.4336e-05.\n\tIteration 489\nIteration 489 change of RSS (dCVR) is 2.40595e-05.\n\tIteration 490\nIteration 490 change of RSS (dCVR) is 2.37862e-05.\n\tIteration 491\nIteration 491 change of RSS (dCVR) is 2.3516e-05.\n\tIteration 492\nIteration 492 change of RSS (dCVR) is 2.32488e-05.\n\tIteration 493\nIteration 493 change of RSS (dCVR) is 2.29847e-05.\n\tIteration 494\nIteration 494 change of RSS (dCVR) is 2.27236e-05.\n\tIteration 495\nIteration 495 change of RSS (dCVR) is 2.24654e-05.\n\tIteration 496\nIteration 496 change of RSS (dCVR) is 2.22102e-05.\n\tIteration 497\nIteration 497 change of RSS (dCVR) is 2.19579e-05.\n\tIteration 498\nIteration 498 change of RSS (dCVR) is 2.17085e-05.\n\tIteration 499\nIteration 499 change of RSS (dCVR) is 2.14619e-05.\n\tIteration 500\nIteration 500 change of RSS (dCVR) is 2.1218e-05.\n\tIteration 501\nIteration 501 change of RSS (dCVR) is 2.0977e-05.\n\tIteration 502\nIteration 502 change of RSS (dCVR) is 2.07386e-05.\n\tIteration 503\nIteration 503 change of RSS (dCVR) is 2.05031e-05.\n\tIteration 504\nIteration 504 change of RSS (dCVR) is 2.02701e-05.\n\tIteration 505\nIteration 505 change of RSS (dCVR) is 2.00398e-05.\n\tIteration 506\nIteration 506 change of RSS (dCVR) is 1.98122e-05.\n\tIteration 507\nIteration 507 change of RSS (dCVR) is 1.95871e-05.\n\tIteration 508\nIteration 508 change of RSS (dCVR) is 1.93646e-05.\n\tIteration 509\nIteration 509 change of RSS (dCVR) is 1.91446e-05.\n\tIteration 510\nIteration 510 change of RSS (dCVR) is 1.8927e-05.\n\tIteration 511\nIteration 511 change of RSS (dCVR) is 1.8712e-05.\n\tIteration 512\nIteration 512 change of RSS (dCVR) is 1.84995e-05.\n\tIteration 513\nIteration 513 change of RSS (dCVR) is 1.82893e-05.\n\tIteration 514\nIteration 514 change of RSS (dCVR) is 1.80815e-05.\n\tIteration 515\nIteration 515 change of RSS (dCVR) is 1.78761e-05.\n\tIteration 516\nIteration 516 change of RSS (dCVR) is 1.7673e-05.\n\tIteration 517\nIteration 517 change of RSS (dCVR) is 1.74722e-05.\n\tIteration 518\nIteration 518 change of RSS (dCVR) is 1.72737e-05.\n\tIteration 519\nIteration 519 change of RSS (dCVR) is 1.70774e-05.\n\tIteration 520\nIteration 520 change of RSS (dCVR) is 1.68834e-05.\n\tIteration 521\nIteration 521 change of RSS (dCVR) is 1.66916e-05.\n\tIteration 522\nIteration 522 change of RSS (dCVR) is 1.65019e-05.\n\tIteration 523\nIteration 523 change of RSS (dCVR) is 1.63145e-05.\n\tIteration 524\nIteration 524 change of RSS (dCVR) is 1.61291e-05.\n\tIteration 525\nIteration 525 change of RSS (dCVR) is 1.59459e-05.\n\tIteration 526\nIteration 526 change of RSS (dCVR) is 1.57647e-05.\n\tIteration 527\nIteration 527 change of RSS (dCVR) is 1.55856e-05.\n\tIteration 528\nIteration 528 change of RSS (dCVR) is 1.54085e-05.\n\tIteration 529\nIteration 529 change of RSS (dCVR) is 1.52334e-05.\n\tIteration 530\nIteration 530 change of RSS (dCVR) is 1.50604e-05.\n\tIteration 531\nIteration 531 change of RSS (dCVR) is 1.48893e-05.\n\tIteration 532\nIteration 532 change of RSS (dCVR) is 1.47201e-05.\n\tIteration 533\nIteration 533 change of RSS (dCVR) is 1.45529e-05.\n\tIteration 534\nIteration 534 change of RSS (dCVR) is 1.43875e-05.\n\tIteration 535\nIteration 535 change of RSS (dCVR) is 1.4224e-05.\n\tIteration 536\nIteration 536 change of RSS (dCVR) is 1.40624e-05.\n\tIteration 537\nIteration 537 change of RSS (dCVR) is 1.39027e-05.\n\tIteration 538\nIteration 538 change of RSS (dCVR) is 1.37447e-05.\n\tIteration 539\nIteration 539 change of RSS (dCVR) is 1.35886e-05.\n\tIteration 540\nIteration 540 change of RSS (dCVR) is 1.34341e-05.\n\tIteration 541\nIteration 541 change of RSS (dCVR) is 1.32815e-05.\n\tIteration 542\nIteration 542 change of RSS (dCVR) is 1.31306e-05.\n\tIteration 543\nIteration 543 change of RSS (dCVR) is 1.29814e-05.\n\tIteration 544\nIteration 544 change of RSS (dCVR) is 1.28339e-05.\n\tIteration 545\nIteration 545 change of RSS (dCVR) is 1.26881e-05.\n\tIteration 546\nIteration 546 change of RSS (dCVR) is 1.2544e-05.\n\tIteration 547\nIteration 547 change of RSS (dCVR) is 1.24014e-05.\n\tIteration 548\nIteration 548 change of RSS (dCVR) is 1.22606e-05.\n\tIteration 549\nIteration 549 change of RSS (dCVR) is 1.21212e-05.\n\tIteration 550\nIteration 550 change of RSS (dCVR) is 1.19835e-05.\n\tIteration 551\nIteration 551 change of RSS (dCVR) is 1.18474e-05.\n\tIteration 552\nIteration 552 change of RSS (dCVR) is 1.17127e-05.\n\tIteration 553\nIteration 553 change of RSS (dCVR) is 1.15797e-05.\n\tIteration 554\nIteration 554 change of RSS (dCVR) is 1.14481e-05.\n\tIteration 555\nIteration 555 change of RSS (dCVR) is 1.13181e-05.\n\tIteration 556\nIteration 556 change of RSS (dCVR) is 1.11894e-05.\n\tIteration 557\nIteration 557 change of RSS (dCVR) is 1.10623e-05.\n\tIteration 558\nIteration 558 change of RSS (dCVR) is 1.09366e-05.\n\tIteration 559\nIteration 559 change of RSS (dCVR) is 1.08124e-05.\n\tIteration 560\nIteration 560 change of RSS (dCVR) is 1.06895e-05.\n\tIteration 561\nIteration 561 change of RSS (dCVR) is 1.0568e-05.\n\tIteration 562\nIteration 562 change of RSS (dCVR) is 1.0448e-05.\n\tIteration 563\nIteration 563 change of RSS (dCVR) is 1.03293e-05.\n\tIteration 564\nIteration 564 change of RSS (dCVR) is 1.02119e-05.\n\tIteration 565\nIteration 565 change of RSS (dCVR) is 1.00959e-05.\n\tIteration 566\nIteration 566 change of RSS (dCVR) is 9.98123e-06.\n   ***********************************************************************\n   *                       Package   GWmodel                             *\n   ***********************************************************************\n   Program starts at: 2024-12-03 14:15:48 \n   Call:\n   gwr.multiscale(formula = mgwrformula, data = spdata, kernel = kernel, \n    adaptive = adaptive, parallel.method = parallelmethod, parallel.arg = parallelarg)\n\n   Dependent (y) variable:  Avg_HP_\n   Independent variables:  nrst_ds Avg_Gr_ Av_GDP_\n   Number of data points: 973\n   ***********************************************************************\n   *                       Multiscale (PSDM) GWR                          *\n   ***********************************************************************\n\n   *********************Model calibration information*********************\n   Kernel function: gaussian \n   Adaptive bandwidths for each coefficient(number of nearest neighbours): \n              (Intercept) nrst_ds Avg_Gr_ Av_GDP_\n   Bandwidth            8       8      63      10\n\n   *************Summary of multiscale GWR coefficient estimates:***************\n                    Min.     1st Qu.      Median     3rd Qu.       Max.\n   Intercept  9.1775e+03  1.3535e+04  1.5142e+04  1.6548e+04 22736.2527\n   nrst_ds   -3.3579e+00 -7.7424e-01 -4.6883e-01 -4.8999e-02     1.5050\n   Avg_Gr_   -1.5374e+03  5.8256e+01  6.9691e+02  1.1548e+03  2822.1162\n   Av_GDP_   -1.0748e+00 -1.4344e-01  2.9361e-02  1.9283e-01     1.6643\n   ************************Diagnostic information*************************\n   Number of data points: 973 \n   Effective number of parameters (2trace(S) - trace(S'S)): 204.9156 \n   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 768.0844 \n   AICc value:  16359.65 \n   AIC value:  16155.4 \n   BIC value:  16052.46 \n   Residual sum of squares:  795233782 \n   R-square value:  0.9106027 \n   Adjusted R-square value:  0.8867215 \n\n   ***********************************************************************\n   Program stops at: 2024-12-03 19:07:35 \nWarning message:\nIn abbreviate_shapefile_names(obj) :\n  Field names abbreviated for ESRI Shapefile driver\n	cec1667f-dfc0-37f4-98d6-b9d0895d3e9c	多尺度地理加权回归(txt输入自变量)	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp; txt变量顺序: /onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt; 因变量: Avg_HP_; 结果空间数据: /onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.shp; 模型诊断信息: /onesis/kt4/test_data/regr/_whhp/res/mgwr_12032200.txt; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
5bcbff4eeaf74d6788b9cae517c76878		2024-10-10 09:05:38.656976	2024-10-10 09:05:27.084428	{"sd8":"/onesis/kt4/results/sd81844182420409155584.tif","fel":"/onesis/kt4/results/fel1844182420363018240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844182420363018240.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.054274\nData read time: 0.138286\nCompute Slope time: 0.271484\nWrite Slope time: 0.102540\nResolve Flat time: 2.561418\nWrite Flat time: 0.051443\nTotal time: 3.179445\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844182420363018240.tif; 坡度栅格: /onesis/kt4/results/sd81844182420409155584.tif; 	\N	6	239f977e-4093-42f5-bf68-7581b6709ab5
a100c8cf1c614b0fb222213eb68ee7a1		2024-10-10 09:10:35.851181	2024-10-10 09:10:24.531737	{"sd8":"/onesis/kt4/results/sd81844183668097155072.tif","fel":"/onesis/kt4/results/fel1844183668042629120.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844183668042629120.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.052101\nData read time: 0.158180\nCompute Slope time: 0.254244\nWrite Slope time: 0.107420\nResolve Flat time: 2.522977\nWrite Flat time: 0.050940\nTotal time: 3.145862\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844183668042629120.tif; 坡度栅格: /onesis/kt4/results/sd81844183668097155072.tif; 	\N	6	05f56523-c427-48f4-9df6-4a1c3dfe5961
7919a9ce4834434c97416212a90dcc5a		2024-10-10 21:34:51.506236	2024-10-10 21:34:34.753399	{"fel":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif","plan":"/onesis/kt4/dsm_case/result/plan1844370944085327872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nCurvature -h version 5.3.9, by Liangjun Zhu, Apr 8, 2015\nInput file /data/onesis/kt4/dsm_case/result/fel1844370943523291136.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nProcessors: 1\nRead time: 0.221006\nCompute time: 0.127688\nWrite time: 0.173233\nTotal time: 0.521927\nfailed to create fsnotify watcher: too many open files	d8bcff1d-3318-35bf-ae69-540b08d4c3ec	平面曲率	数字高程模型: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 平面曲率栅格: /onesis/kt4/dsm_case/result/plan1844370944085327872.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
b2f577ee60fc4b3eafbdc6f4dbe932ca		2024-10-10 09:05:39.666114	2024-10-10 09:05:27.111176	{"p":"/onesis/kt4/results/p1844182420501430272.tif","fel":"/onesis/kt4/results/fel1844182420363018240.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844182420363018240.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.059050\nData read time: 0.161051\nCompute Slope time: 0.385746\nWrite Slope time: 0.094181\nResolve Flat time: 2.393766\nWrite Flat time: 0.043906\nTotal time: 3.137699\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844182420363018240.tif; D8单流向栅格: /onesis/kt4/results/p1844182420501430272.tif; 	\N	6	239f977e-4093-42f5-bf68-7581b6709ab5
8b5687e3393d4b7f985b081b2048f500		2024-10-10 09:55:02.801796	2024-10-10 09:54:39.912271	{"sca":"/onesis/kt4/results/ad81844194805907849216.tif","slp":"/onesis/kt4/results/sd81844194805689745408.tif","twi":"/onesis/kt4/results/res_202410100954.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/results/sd81844194805689745408.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \nNodata value recast to float used in partition raster: -1.000000\na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/results/ad81844194805907849216.tif has geographic coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.038083\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	地形湿度指数: /onesis/kt4/results/res_202410100954.tif; 坡度: /onesis/kt4/results/sd81844194805689745408.tif; 汇流累积量: /onesis/kt4/results/ad81844194805907849216.tif; 	\N	6	81c55e7a-d08e-4312-ae8a-a3464d53e8af
8a416717e4314aa49765d47f79cb13dc		2024-10-10 09:54:52.629844	2024-10-10 09:54:39.994191	{"p":"/onesis/kt4/results/p1844194805832351744.tif","fel":"/onesis/kt4/results/fel1844194805542944768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844194805542944768.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.055515\nData read time: 0.151039\nCompute Slope time: 0.397071\nWrite Slope time: 0.093821\nResolve Flat time: 2.521415\nWrite Flat time: 0.052563\nTotal time: 3.271425\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844194805542944768.tif; D8单流向栅格: /onesis/kt4/results/p1844194805832351744.tif; 	\N	6	81c55e7a-d08e-4312-ae8a-a3464d53e8af
79f5e03d15b54c6ca4cdb3bfe4c6d3ca		2024-10-10 21:29:24.431126	2024-10-10 21:29:05.749189	{"p":"/onesis/kt4/dsm_case/result/p1844369560732565504.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844369560166334464.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.098554\nData read time: 0.125371\nCompute Slope time: 0.250256\nWrite Slope time: 0.053122\nResolve Flat time: 3.500288\nWrite Flat time: 0.029480\nTotal time: 4.057071\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; D8单流向栅格: /onesis/kt4/dsm_case/result/p1844369560732565504.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
0191fa77c7a44390b1c4766d19f17d45		2024-10-10 21:29:48.923892	2024-10-10 21:29:04.955792	{"inlayer3":"/onesis/kt4/dsm_case/result/o1844369561617563648.tif","inlayer2":"/onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif","inlayer1":"/onesis/kt4/dsm_case/result/sd81844369561168773120.tif","inlayer0":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif","inlayer7":"/onesis/kt4/dsm_case/result/twi1844369561227493376.tif","inlayer6":"/onesis/kt4/dsm_case/result/o1844369561340739584.tif","inlayer5":"/onesis/kt4/dsm_case/result/o1844369560610930688.tif","simithred":"0.3","inlayer4":"/onesis/kt4/dsm_case/result/plan1844369560438964224.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","target":"SOM","uncmap":"/onesis/kt4/dsm_case/result/unc.tif","predmap":"/onesis/kt4/dsm_case/result/pred.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: 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31.4%\rCompleted  31.5%\rCompleted  31.6%\rCompleted  31.7%\rCompleted  31.8%\rCompleted  31.9%\rCompleted    32%\rCompleted  32.1%\rCompleted  32.2%\rCompleted  32.3%\rCompleted  32.4%\rCompleted  32.5%\rCompleted  32.6%\rCompleted  32.7%\rCompleted  32.8%\rCompleted  32.9%\rCompleted    33%\rCompleted  33.1%\rCompleted  33.2%\rCompleted  33.3%\rCompleted  33.4%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted  25.6%\rCompleted  25.7%\rCompleted  25.8%\rCompleted  25.9%\rCompleted    26%\rCompleted  26.1%\rCompleted  26.2%\rCompleted  26.3%\rCompleted  26.4%\rCompleted  26.5%\rCompleted  26.6%\rCompleted  26.7%\rCompleted  26.8%\rCompleted  26.9%\rCompleted    27%\rCompleted  27.1%\rCompleted  27.2%\rCompleted  27.3%\rCompleted  27.4%\rCompleted  27.5%\rCompleted  27.6%\rCompleted  27.7%\rCompleted  27.8%\rCompleted  27.9%\rCompleted    28%\rCompleted  28.1%\rCompleted  28.2%\rCompleted  28.3%\rCompleted  28.4%\rCompleted  28.5%\rCompleted  28.6%\rCompleted  28.7%\rCompleted  28.8%\rCompleted  28.9%\rCompleted    29%\rCompleted  29.1%\rCompleted  29.2%\rCompleted  29.3%\rCompleted  29.4%\rCompleted  29.5%\rCompleted  29.6%\rCompleted  29.7%\rCompleted  29.8%\rCompleted  29.9%\rCompleted    30%\rCompleted   100%\nWrite out result ...\n\nProcesses:4\n    Read time:2.939412\n    Compute time:7.648428\n    Write time:0.000000\n 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted   100%%\rCompleted  33.5%\rCompleted  33.6%\rCompleted  33.7%\rCompleted  33.8%\rCompleted  33.9%\rCompleted    34%\rCompleted  34.1%\rCompleted  34.2%\rCompleted  34.3%\rCompleted  34.4%\rCompleted  34.5%\rCompleted  34.6%\rCompleted  34.7%\rCompleted  34.8%\rCompleted  34.9%\rCompleted    35%\rCompleted  35.1%\rCompleted  35.2%\rCompleted  35.3%\rCompleted  35.4%\rCompleted  35.5%\rCompleted   100% 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted  16.1%\rCompleted  16.2%\rCompleted  16.3%\rCompleted  16.4%\rCompleted  16.5%\rCompleted  16.6%\rCompleted  16.7%\rCompleted  16.8%\rCompleted  16.9%\rCompleted    17%\rCompleted  17.1%\rCompleted  17.2%\rCompleted  17.3%\rCompleted  17.4%\rCompleted  17.5%\rCompleted  17.6%\rCompleted  17.7%\rCompleted  17.8%\rCompleted  17.9%\rCompleted    18%\rCompleted  18.1%\rCompleted  18.2%\rCompleted  18.3%\rCompleted   100%failed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOM; 土壤属性空间分布: /onesis/kt4/dsm_case/result/pred.tif; 空间推测不确定性: /onesis/kt4/dsm_case/result/unc.tif; DEM栅格: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844369561168773120.tif; 汇聚指数: /onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif; 坡向: /onesis/kt4/dsm_case/result/o1844369561617563648.tif; 平面曲率: /onesis/kt4/dsm_case/result/plan1844369560438964224.tif; 剖面曲率: /onesis/kt4/dsm_case/result/o1844369560610930688.tif; 水动力指数: /onesis/kt4/dsm_case/result/o1844369561340739584.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844369561227493376.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
8b55e8cdd439464e88ed091faff8bd43		2024-12-08 21:47:42.057115	2024-12-08 21:46:48.457475	{"op":"/onesis/kt4/data/rf_workflow/process_data/road_distance.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/road/road.shp","height":"69"}	t	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=8b55e8cdd439464e88ed091faff8bd43, listenThread=thread4}\n        managedFields: null\n        name: 8b55e8cdd439464e88ed091faff8bd43\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=8b55e8cdd439464e88ed091faff8bd43}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-sfp, /data/onesis/kt4/data/rf_workflow/origin_data/road/road.shp, -width, 94, -height, 69, -op, /data/onesis/kt4/data/rf_workflow/process_data/road_distance.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/distance_analysis:1.0-scipy\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: 8b55e8cdd439464e88ed091faff8bd43\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	a12bb857-2e6e-3c1b-b998-2464a04038a5	欧氏距离分析(道路)-214647	输入文件: /onesis/kt4/data/rf_workflow/origin_data/road/road.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/road_distance.tif; 	\N	7	\N
12944abf86244e9a83cfd5545b6a5ad5		2024-10-10 09:54:52.631252	2024-10-10 09:54:39.966088	{"sd8":"/onesis/kt4/results/sd81844194805689745408.tif","fel":"/onesis/kt4/results/fel1844194805542944768.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844194805542944768.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.059316\nData read time: 0.166286\nCompute Slope time: 0.379316\nWrite Slope time: 0.103678\nResolve Flat time: 2.595864\nWrite Flat time: 0.050419\nTotal time: 3.354879\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844194805542944768.tif; 坡度栅格: /onesis/kt4/results/sd81844194805689745408.tif; 	\N	6	81c55e7a-d08e-4312-ae8a-a3464d53e8af
04edd7ee0095496b8ae56d270eb6cef2		2024-10-10 11:30:08.005091	2024-10-10 11:29:54.963056	{"p":"/onesis/kt4/results/p1844218776233574400.tif","fel":"/onesis/kt4/results/fel1844218776086773760.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844218776086773760.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.055225\nData read time: 0.167473\nCompute Slope time: 0.389468\nWrite Slope time: 0.094990\nResolve Flat time: 2.554148\nWrite Flat time: 0.048972\nTotal time: 3.310275\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/results/fel1844218776086773760.tif; D8单流向栅格: /onesis/kt4/results/p1844218776233574400.tif; 	\N	6	4f8ce1fe-0a30-483f-a488-7964f9822719
705b589ba53242f1abda5a65dcbb6665		2024-10-10 11:30:08.007953	2024-10-10 11:29:54.934918	{"sd8":"/onesis/kt4/results/sd81844218776137105408.tif","fel":"/onesis/kt4/results/fel1844218776086773760.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/results/fel1844218776086773760.tif has geographic coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 49338 flats to resolve.\nDraining flats towards lower adjacent terrain\n.............................................................................................................................................................\nDraining flats away from higher adjacent terrain\n......\nSetting directions\nIteration complete. Number of flats remaining: 1323\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n...\nSetting directions\nProcessors: 1\nHeader read time: 0.058675\nData read time: 0.165656\nCompute Slope time: 0.367090\nWrite Slope time: 0.103883\nResolve Flat time: 2.549657\nWrite Flat time: 0.049896\nTotal time: 3.294857\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/results/fel1844218776086773760.tif; 坡度栅格: /onesis/kt4/results/sd81844218776137105408.tif; 	\N	6	4f8ce1fe-0a30-483f-a488-7964f9822719
ffc3c9d1676b41a5a4757dec54a630e2		2024-10-10 21:27:04.991736	2024-10-10 21:27:00.220127	{"z":"/onesis/kt4/dsm_case/dem_xc.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nPitRemove version 5.3.9\nInput file /data/onesis/kt4/dsm_case/dem_xc.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nProcesses: 1\nHeader read time: 0.069662\nData read time: 0.019665\nCompute time: 0.171641\nWrite time: 0.057774\nTotal time: 0.318743\nfailed to create fsnotify watcher: too many open files	cc241952-4ff2-36f3-ba31-d23ccd3919df	填洼（坡度抬升填平）	数字高程模型: /onesis/kt4/dsm_case/dem_xc.tif; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
dca8f14221ef41d5b7fed443515dc235		2024-10-10 21:23:19.176704	2024-10-10 21:23:09.504319	{"out_type":"cells","i":"/onesis/kt4/job_results/fel1844368070395691008.tif","o":"/onesis/kt4/job_results/acc.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*********************************\n* Welcome to D8FlowAccumulation *\n* Powered by WhiteboxTools      *\n* www.whiteboxgeo.com           *\n*********************************\nReading data...\nFlow directions: 0%\nFlow directions: 1%\nFlow directions: 2%\nFlow directions: 3%\nFlow directions: 4%\nFlow directions: 5%\nFlow directions: 6%\nFlow directions: 7%\nFlow directions: 8%\nFlow directions: 9%\nFlow directions: 10%\nFlow directions: 11%\nFlow directions: 12%\nFlow directions: 13%\nFlow directions: 14%\nFlow directions: 15%\nFlow directions: 16%\nFlow directions: 17%\nFlow directions: 18%\nFlow directions: 19%\nFlow directions: 20%\nFlow directions: 21%\nFlow directions: 22%\nFlow directions: 23%\nFlow directions: 24%\nFlow directions: 25%\nFlow directions: 26%\nFlow directions: 27%\nFlow directions: 28%\nFlow directions: 29%\nFlow directions: 30%\nFlow directions: 31%\nFlow directions: 32%\nFlow directions: 33%\nFlow directions: 34%\nFlow directions: 35%\nFlow directions: 36%\nFlow directions: 37%\nFlow directions: 38%\nFlow directions: 39%\nFlow directions: 40%\nFlow directions: 41%\nFlow directions: 42%\nFlow directions: 43%\nFlow directions: 44%\nFlow directions: 45%\nFlow directions: 46%\nFlow directions: 47%\nFlow directions: 48%\nFlow directions: 49%\nFlow directions: 50%\nFlow directions: 51%\nFlow directions: 52%\nFlow directions: 53%\nFlow directions: 54%\nFlow directions: 55%\nFlow directions: 56%\nFlow directions: 57%\nFlow directions: 58%\nFlow directions: 59%\nFlow directions: 60%\nFlow directions: 61%\nFlow directions: 62%\nFlow directions: 63%\nFlow directions: 64%\nFlow directions: 65%\nFlow directions: 66%\nFlow directions: 67%\nFlow directions: 68%\nFlow directions: 69%\nFlow directions: 70%\nFlow directions: 71%\nFlow directions: 72%\nFlow directions: 73%\nFlow directions: 74%\nFlow directions: 75%\nFlow directions: 76%\nFlow directions: 77%\nFlow directions: 78%\nFlow directions: 79%\nFlow directions: 80%\nFlow directions: 81%\nFlow directions: 82%\nFlow directions: 83%\nFlow directions: 84%\nFlow directions: 85%\nFlow directions: 86%\nFlow directions: 87%\nFlow directions: 88%\nFlow directions: 89%\nFlow directions: 90%\nFlow directions: 91%\nFlow directions: 92%\nFlow directions: 93%\nFlow directions: 94%\nFlow directions: 95%\nFlow directions: 96%\nFlow directions: 97%\nFlow directions: 98%\nFlow directions: 99%\nFlow directions: 100%\nNum. inflowing neighbours: 0%\nNum. inflowing neighbours: 1%\nNum. inflowing neighbours: 2%\nNum. inflowing neighbours: 3%\nNum. inflowing neighbours: 4%\nNum. inflowing neighbours: 5%\nNum. inflowing neighbours: 6%\nNum. inflowing neighbours: 7%\nNum. inflowing neighbours: 8%\nNum. inflowing neighbours: 9%\nNum. inflowing neighbours: 10%\nNum. inflowing neighbours: 11%\nNum. inflowing neighbours: 12%\nNum. inflowing neighbours: 13%\nNum. inflowing neighbours: 14%\nNum. inflowing neighbours: 15%\nNum. inflowing neighbours: 16%\nNum. inflowing neighbours: 17%\nNum. inflowing neighbours: 18%\nNum. inflowing neighbours: 19%\nNum. inflowing neighbours: 20%\nNum. inflowing neighbours: 21%\nNum. inflowing neighbours: 22%\nNum. inflowing neighbours: 23%\nNum. inflowing neighbours: 24%\nNum. inflowing neighbours: 25%\nNum. inflowing neighbours: 26%\nNum. inflowing neighbours: 27%\nNum. inflowing neighbours: 28%\nNum. inflowing neighbours: 29%\nNum. inflowing neighbours: 30%\nNum. inflowing neighbours: 31%\nNum. inflowing neighbours: 32%\nNum. inflowing neighbours: 33%\nNum. inflowing neighbours: 34%\nNum. inflowing neighbours: 35%\nNum. inflowing neighbours: 36%\nNum. inflowing neighbours: 37%\nNum. inflowing neighbours: 38%\nNum. inflowing neighbours: 39%\nNum. inflowing neighbours: 40%\nNum. inflowing neighbours: 41%\nNum. inflowing neighbours: 42%\nNum. inflowing neighbours: 43%\nNum. inflowing neighbours: 44%\nNum. inflowing neighbours: 45%\nNum. inflowing neighbours: 46%\nNum. inflowing neighbours: 47%\nNum. inflowing neighbours: 48%\nNum. inflowing neighbours: 49%\nNum. inflowing neighbours: 50%\nNum. inflowing neighbours: 51%\nNum. inflowing neighbours: 52%\nNum. inflowing neighbours: 53%\nNum. inflowing neighbours: 54%\nNum. inflowing neighbours: 55%\nNum. inflowing neighbours: 56%\nNum. inflowing neighbours: 57%\nNum. inflowing neighbours: 58%\nNum. inflowing neighbours: 59%\nNum. inflowing neighbours: 60%\nNum. inflowing neighbours: 61%\nNum. inflowing neighbours: 62%\nNum. inflowing neighbours: 63%\nNum. inflowing neighbours: 64%\nNum. inflowing neighbours: 65%\nNum. inflowing neighbours: 66%\nNum. inflowing neighbours: 67%\nNum. inflowing neighbours: 68%\nNum. inflowing neighbours: 69%\nNum. inflowing neighbours: 70%\nNum. inflowing neighbours: 71%\nNum. inflowing neighbours: 72%\nNum. inflowing neighbours: 73%\nNum. inflowing neighbours: 74%\nNum. inflowing neighbours: 75%\nNum. inflowing neighbours: 76%\nNum. inflowing neighbours: 77%\nNum. inflowing neighbours: 78%\nNum. inflowing neighbours: 79%\nNum. inflowing neighbours: 80%\nNum. inflowing neighbours: 81%\nNum. inflowing neighbours: 82%\nNum. inflowing neighbours: 83%\nNum. inflowing neighbours: 84%\nNum. inflowing neighbours: 85%\nNum. inflowing neighbours: 86%\nNum. inflowing neighbours: 87%\nNum. inflowing neighbours: 88%\nNum. inflowing neighbours: 89%\nNum. inflowing neighbours: 90%\nNum. inflowing neighbours: 91%\nNum. inflowing neighbours: 92%\nNum. inflowing neighbours: 93%\nNum. inflowing neighbours: 94%\nNum. inflowing neighbours: 95%\nNum. inflowing neighbours: 96%\nNum. inflowing neighbours: 97%\nNum. inflowing neighbours: 98%\nNum. inflowing neighbours: 99%\nNum. inflowing neighbours: 100%\nFlow accumulation: 44%\nFlow accumulation: 45%\nFlow accumulation: 46%\nFlow accumulation: 47%\nFlow accumulation: 48%\nFlow accumulation: 49%\nFlow accumulation: 50%\nFlow accumulation: 51%\nFlow accumulation: 52%\nFlow accumulation: 53%\nFlow accumulation: 54%\nFlow accumulation: 55%\nFlow accumulation: 56%\nFlow accumulation: 57%\nFlow accumulation: 58%\nFlow accumulation: 59%\nFlow accumulation: 60%\nFlow accumulation: 61%\nFlow accumulation: 62%\nFlow accumulation: 63%\nFlow accumulation: 64%\nFlow accumulation: 65%\nFlow accumulation: 66%\nFlow accumulation: 67%\nFlow accumulation: 68%\nFlow accumulation: 69%\nFlow accumulation: 70%\nFlow accumulation: 71%\nFlow accumulation: 72%\nFlow accumulation: 73%\nFlow accumulation: 74%\nFlow accumulation: 75%\nFlow accumulation: 76%\nFlow accumulation: 77%\nFlow accumulation: 78%\nFlow accumulation: 79%\nFlow accumulation: 80%\nFlow accumulation: 81%\nFlow accumulation: 82%\nFlow accumulation: 83%\nFlow accumulation: 84%\nFlow accumulation: 85%\nFlow accumulation: 86%\nFlow accumulation: 87%\nFlow accumulation: 88%\nFlow accumulation: 89%\nFlow accumulation: 90%\nFlow accumulation: 91%\nFlow accumulation: 92%\nFlow accumulation: 93%\nFlow accumulation: 94%\nFlow accumulation: 95%\nFlow accumulation: 96%\nFlow accumulation: 97%\nFlow accumulation: 98%\nFlow accumulation: 99%\nFlow accumulation: 100%\nCorrecting values: 0%\nCorrecting values: 1%\nCorrecting values: 2%\nCorrecting values: 3%\nCorrecting values: 4%\nCorrecting values: 5%\nCorrecting values: 6%\nCorrecting values: 7%\nCorrecting values: 8%\nCorrecting values: 9%\nCorrecting values: 10%\nCorrecting values: 11%\nCorrecting values: 12%\nCorrecting values: 13%\nCorrecting values: 14%\nCorrecting values: 15%\nCorrecting values: 16%\nCorrecting values: 17%\nCorrecting values: 18%\nCorrecting values: 19%\nCorrecting values: 20%\nCorrecting values: 21%\nCorrecting values: 22%\nCorrecting values: 23%\nCorrecting values: 24%\nCorrecting values: 25%\nCorrecting values: 26%\nCorrecting values: 27%\nCorrecting values: 28%\nCorrecting values: 29%\nCorrecting values: 30%\nCorrecting values: 31%\nCorrecting values: 32%\nCorrecting values: 33%\nCorrecting values: 34%\nCorrecting values: 35%\nCorrecting values: 36%\nCorrecting values: 37%\nCorrecting values: 38%\nCorrecting values: 39%\nCorrecting values: 40%\nCorrecting values: 41%\nCorrecting values: 42%\nCorrecting values: 43%\nCorrecting values: 44%\nCorrecting values: 45%\nCorrecting values: 46%\nCorrecting values: 47%\nCorrecting values: 48%\nCorrecting values: 49%\nCorrecting values: 50%\nCorrecting values: 51%\nCorrecting values: 52%\nCorrecting values: 53%\nCorrecting values: 54%\nCorrecting values: 55%\nCorrecting values: 56%\nCorrecting values: 57%\nCorrecting values: 58%\nCorrecting values: 59%\nCorrecting values: 60%\nCorrecting values: 61%\nCorrecting values: 62%\nCorrecting values: 63%\nCorrecting values: 64%\nCorrecting values: 65%\nCorrecting values: 66%\nCorrecting values: 67%\nCorrecting values: 68%\nCorrecting values: 69%\nCorrecting values: 70%\nCorrecting values: 71%\nCorrecting values: 72%\nCorrecting values: 73%\nCorrecting values: 74%\nCorrecting values: 75%\nCorrecting values: 76%\nCorrecting values: 77%\nCorrecting values: 78%\nCorrecting values: 79%\nCorrecting values: 80%\nCorrecting values: 81%\nCorrecting values: 82%\nCorrecting values: 83%\nCorrecting values: 84%\nCorrecting values: 85%\nCorrecting values: 86%\nCorrecting values: 87%\nCorrecting values: 88%\nCorrecting values: 89%\nCorrecting values: 90%\nCorrecting values: 91%\nCorrecting values: 92%\nCorrecting values: 93%\nCorrecting values: 94%\nCorrecting values: 95%\nCorrecting values: 96%\nCorrecting values: 97%\nCorrecting values: 98%\nCorrecting values: 99%\nCorrecting values: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.126s\n**********************************************************************************\nWARNING: Interior pit cells were found within the input DEM. It is likely that the \n            DEM needs to be processed to remove topographic depressions and flats prior to\n            running this tool.\n**********************************************************************************\nfailed to create fsnotify watcher: too many open files	9d1209e6-dec8-3157-8542-73662b5e1bb1	new_name	输出类型: cells; 输出数据: /onesis/kt4/job_results/acc.tif; 输入数据: /onesis/kt4/job_results/fel1844368070395691008.tif; 	\N	6	e1f22a6b-24f2-472e-8d95-2055f44cff94
ae9bb3673a2d4227be6fa0a466419861		2024-10-10 21:27:11.564366	2024-10-10 21:27:00.280316	{"i":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif","o":"/onesis/kt4/dsm_case/result/o1844369038059372544.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to ProfileCurvature *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.38s\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844369038059372544.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
18c1e51a625d4c1d97a94e777b9a33d8		2024-10-10 21:29:28.498948	2024-10-10 21:29:05.600203	{"p":"/onesis/kt4/dsm_case/result/p1844369560732565504.tif","ad8":"/onesis/kt4/dsm_case/result/ad81844369560824840192.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/p1844369560732565504.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.092152\nCompute time: 0.184483\nWrite time: 0.046092\nTotal time: 0.322727\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/dsm_case/result/p1844369560732565504.tif; d8汇流累积量栅格: /onesis/kt4/dsm_case/result/ad81844369560824840192.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
157344627ec34f8587fd9ca347767728		2024-10-10 21:29:24.431702	2024-10-10 21:29:05.169616	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/dsm_case/result/fel1844369560166334464.tif","METHOD":"0","RESULT":"/onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\nloading: fel1844369560166334464\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%[Convergence Index] Execution started...\n\n__________\n[Convergence Index] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nElevation: fel1844369560166334464\nConvergence Index: Convergence Index\nMethod: Aspect\nGradient Calculation: 2 x 2\n\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\r101%\n__________\ntotal execution time: 4000 milliseconds (04s)\n\n[Convergence Index] Execution succeeded (04s)\nSaving grid: /data/onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif...\nExport GeoTIFF\n\n__________\n[Export GeoTIFF] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nGrid(s): 1 object (RESULT1844369560237637632)\nFile: /data/onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif\nCreation Options: \n\nBand 1\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\n[Export GeoTIFF] execution time: less than 1 millisecond\nokay\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844369560166334464.tif; 地形结构指数: /onesis/kt4/dsm_case/result/RESULT1844369560237637632.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
845a605101e24484b96b5ac35ed473e4		2024-10-10 21:27:25.843744	2024-10-10 21:27:00.36064	{"sca":"/onesis/kt4/dsm_case/result/ad81844369038222950400.tif","slp":"/onesis/kt4/dsm_case/result/sd81844369037308592128.tif","twi":"/onesis/kt4/dsm_case/result/twi1844369038386528256.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/sd81844369037308592128.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/dsm_case/result/ad81844369038222950400.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.024305\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/dsm_case/result/sd81844369037308592128.tif; 汇流累积量: /onesis/kt4/dsm_case/result/ad81844369038222950400.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844369038386528256.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
7d1aefb874e64863b56dfdcd65240b1e		2024-10-10 21:29:32.590314	2024-10-10 21:29:05.201278	{"sca":"/onesis/kt4/dsm_case/result/ad81844369560824840192.tif","slp":"/onesis/kt4/dsm_case/result/sd81844369561168773120.tif","twi":"/onesis/kt4/dsm_case/result/twi1844369561227493376.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/sd81844369561168773120.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/dsm_case/result/ad81844369560824840192.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.033979\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/dsm_case/result/sd81844369561168773120.tif; 汇流累积量: /onesis/kt4/dsm_case/result/ad81844369560824840192.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844369561227493376.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
3098d456ea0c4c4bacc65104c081b082		2024-10-10 21:34:48.506476	2024-10-10 21:34:34.703529	{"sd8":"/onesis/kt4/dsm_case/result/sd81844370944290848768.tif","fel":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844370943523291136.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.059955\nData read time: 0.091113\nCompute Slope time: 0.148566\nWrite Slope time: 0.053777\nResolve Flat time: 3.493814\nWrite Flat time: 0.039598\nTotal time: 3.886824\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844370944290848768.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
715e91de8bea4a5ab383066e0f745952		2024-10-10 21:27:13.354344	2024-10-10 21:27:00.413962	{"zfactor":"1","i":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif","o":"/onesis/kt4/dsm_case/result/o1844369037660913664.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.27s\nfailed to create fsnotify watcher: too many open files	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）	z因子: 1; 输入数据: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 输出数据: /onesis/kt4/dsm_case/result/o1844369037660913664.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
98dc85ab8d534bb5bd378055876a9eef		2024-10-10 21:34:51.106111	2024-10-10 21:34:34.972732	{"p":"/onesis/kt4/dsm_case/result/p1844370943674286080.tif","fel":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844370943523291136.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.077718\nData read time: 0.150144\nCompute Slope time: 0.254489\nWrite Slope time: 0.058595\nResolve Flat time: 3.991259\nWrite Flat time: 0.073896\nTotal time: 4.606099\nfailed to create fsnotify watcher: too many open files	eb43c54f-a81c-3c0f-9d7d-69f305c7fd5e	流向(D8)	数字高程模型: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; D8单流向栅格: /onesis/kt4/dsm_case/result/p1844370943674286080.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
0e473bcf2d0e47699d164ae7fdd9fc36		2024-10-10 21:27:14.937703	2024-10-10 21:27:00.24947	{"sd8":"/onesis/kt4/dsm_case/result/sd81844369037308592128.tif","fel":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif has projected coordinate system.\nNodata value input to create partition from file: -9999.000000\nNodata value recast to float used in partition raster: -9999.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nAll slopes evaluated. 113218 flats to resolve.\nDraining flats towards lower adjacent terrain\n.................................................................................................................\nDraining flats away from higher adjacent terrain\n........\nSetting directions\nIteration complete. Number of flats remaining: 2188\nDraining flats towards lower adjacent terrain\n....\nDraining flats away from higher adjacent terrain\n....\nSetting directions\nProcessors: 1\nHeader read time: 0.086338\nData read time: 0.128196\nCompute Slope time: 0.185764\nWrite Slope time: 0.063378\nResolve Flat time: 2.982572\nWrite Flat time: 0.025369\nTotal time: 3.471616\nfailed to create fsnotify watcher: too many open files	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	数字高程模型: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844369037308592128.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
eb8f2c56811544a796f709ca8c8070eb		2024-10-10 21:34:50.107895	2024-10-10 21:34:34.779453	{"i":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif","o":"/onesis/kt4/dsm_case/result/o1844370943984664576.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to ProfileCurvature *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.58s\nfailed to create fsnotify watcher: too many open files	9db5af17-3f21-3265-924b-afa40e7ddf8a	剖面曲率	输入栅格 DEM 文件: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844370943984664576.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
5cc9b7e36fa74508aca653339b7916ce		2024-10-10 21:34:51.903026	2024-10-10 21:34:34.831007	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif","METHOD":"0","RESULT":"/onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\nloading: fel1844370943523291136\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%[Convergence Index] Execution started...\n\n__________\n[Convergence Index] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nElevation: fel1844370943523291136\nConvergence Index: Convergence Index\nMethod: Aspect\nGradient Calculation: 2 x 2\n\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\r101%\n__________\ntotal execution time: 3000 milliseconds (03s)\n\n[Convergence Index] Execution succeeded (03s)\nSaving grid: /data/onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif...\nExport GeoTIFF\n\n__________\n[Export GeoTIFF] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nGrid(s): 1 object (RESULT1844370943573622784)\nFile: /data/onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif\nCreation Options: \n\nBand 1\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\n[Export GeoTIFF] execution time: less than 1 millisecond\nokay\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 地形结构指数: /onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
42afe3cca0d9498fbf4627cbabb91232		2024-10-10 21:27:27.565256	2024-10-10 21:27:00.386885	{"sca":"/onesis/kt4/dsm_case/result/ad81844369038222950400.tif","slope":"/onesis/kt4/dsm_case/result/sd81844369037308592128.tif","o":"/onesis/kt4/dsm_case/result/o1844369038281670656.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to StreamPowerIndex *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nProgress: 0%\nProgress: 1%\nProgress: 2%\nProgress: 3%\nProgress: 4%\nProgress: 5%\nProgress: 6%\nProgress: 7%\nProgress: 8%\nProgress: 9%\nProgress: 10%\nProgress: 11%\nProgress: 12%\nProgress: 13%\nProgress: 14%\nProgress: 15%\nProgress: 16%\nProgress: 17%\nProgress: 18%\nProgress: 19%\nProgress: 20%\nProgress: 21%\nProgress: 22%\nProgress: 23%\nProgress: 24%\nProgress: 25%\nProgress: 26%\nProgress: 27%\nProgress: 28%\nProgress: 29%\nProgress: 30%\nProgress: 31%\nProgress: 32%\nProgress: 33%\nProgress: 34%\nProgress: 35%\nProgress: 36%\nProgress: 37%\nProgress: 38%\nProgress: 39%\nProgress: 40%\nProgress: 41%\nProgress: 42%\nProgress: 43%\nProgress: 44%\nProgress: 45%\nProgress: 46%\nProgress: 47%\nProgress: 48%\nProgress: 49%\nProgress: 50%\nProgress: 51%\nProgress: 52%\nProgress: 53%\nProgress: 54%\nProgress: 55%\nProgress: 56%\nProgress: 57%\nProgress: 58%\nProgress: 59%\nProgress: 60%\nProgress: 61%\nProgress: 62%\nProgress: 63%\nProgress: 64%\nProgress: 65%\nProgress: 66%\nProgress: 67%\nProgress: 68%\nProgress: 69%\nProgress: 70%\nProgress: 71%\nProgress: 72%\nProgress: 73%\nProgress: 74%\nProgress: 75%\nProgress: 76%\nProgress: 77%\nProgress: 78%\nProgress: 79%\nProgress: 80%\nProgress: 81%\nProgress: 82%\nProgress: 83%\nProgress: 84%\nProgress: 85%\nProgress: 86%\nProgress: 87%\nProgress: 88%\nProgress: 89%\nProgress: 90%\nProgress: 91%\nProgress: 92%\nProgress: 93%\nProgress: 94%\nProgress: 95%\nProgress: 96%\nProgress: 97%\nProgress: 98%\nProgress: 99%\nProgress: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.20s\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/dsm_case/result/ad81844369038222950400.tif; 输入坡度 slope 文件: /onesis/kt4/dsm_case/result/sd81844369037308592128.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844369038281670656.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
3c65e355b53f4cb78bd09317ca0cce55		2024-10-10 21:27:17.355731	2024-10-10 21:27:00.333943	{"NEIGHBOURS":"0","ELEVATION":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif","METHOD":"0","RESULT":"/onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n____________________________\n\n   #####   ##   #####    ##\n  ###     ###  ##       ###\n   ###   # ## ##  #### # ##\n    ### ##### ##    # #####\n ##### #   ##  ##### #   ##\n____________________________\n\nSAGA Version: 8.1.0\n\n____________________________\nlibrary path: /usr/local/lib/saga/\nlibrary name: libta_morphometry\nlibrary     : ta_morphometry\ntool        : Convergence Index\nidentifier  : 1\nauthor      : O.Conrad (c) 2001\nprocessors  : 8 [8]\n____________________________\n\nloading: fel1844369037249871872\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%[Convergence Index] Execution started...\n\n__________\n[Convergence Index] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nElevation: fel1844369037249871872\nConvergence Index: Convergence Index\nMethod: Aspect\nGradient Calculation: 2 x 2\n\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\r101%\n__________\ntotal execution time: 3000 milliseconds (03s)\n\n[Convergence Index] Execution succeeded (03s)\nSaving grid: /data/onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif...\nExport GeoTIFF\n\n__________\n[Export GeoTIFF] Parameters:\n\nGrid System: 90; 1242x 928y; 640437.684x 3381957.072204y\nGrid(s): 1 object (RESULT1844369037828685824)\nFile: /data/onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif\nCreation Options: \n\nBand 1\n\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\r  1%\r  2%\r  3%\r  4%\r  5%\r  6%\r  7%\r  8%\r  9%\r 10%\r 11%\r 12%\r 13%\r 14%\r 15%\r 16%\r 17%\r 18%\r 19%\r 20%\r 21%\r 22%\r 23%\r 24%\r 25%\r 26%\r 27%\r 28%\r 29%\r 30%\r 31%\r 32%\r 33%\r 34%\r 35%\r 36%\r 37%\r 38%\r 39%\r 40%\r 41%\r 42%\r 43%\r 44%\r 45%\r 46%\r 47%\r 48%\r 49%\r 50%\r 51%\r 52%\r 53%\r 54%\r 55%\r 56%\r 57%\r 58%\r 59%\r 60%\r 61%\r 62%\r 63%\r 64%\r 65%\r 66%\r 67%\r 68%\r 69%\r 70%\r 71%\r 72%\r 73%\r 74%\r 75%\r 76%\r 77%\r 78%\r 79%\r 80%\r 81%\r 82%\r 83%\r 84%\r 85%\r 86%\r 87%\r 88%\r 89%\r 90%\r 91%\r 92%\r 93%\r 94%\r 95%\r 96%\r 97%\r 98%\r 99%\r100%\n\n[Export GeoTIFF] execution time: less than 1 millisecond\nokay\nfailed to create fsnotify watcher: too many open files	2dbff9e6-c834-33a7-b5f1-b4b54c0b2612	地形汇聚指数	计算方式: 0; 邻域窗口大小: 0; 数字高程模型: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 地形结构指数: /onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
dcb17df26e094dc0b39e0da44381187b		2024-10-10 21:29:33.597443	2024-10-10 21:29:05.235074	{"sca":"/onesis/kt4/dsm_case/result/ad81844369560824840192.tif","slope":"/onesis/kt4/dsm_case/result/sd81844369561168773120.tif","o":"/onesis/kt4/dsm_case/result/o1844369561340739584.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to StreamPowerIndex *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nProgress: 0%\nProgress: 1%\nProgress: 2%\nProgress: 3%\nProgress: 4%\nProgress: 5%\nProgress: 6%\nProgress: 7%\nProgress: 8%\nProgress: 9%\nProgress: 10%\nProgress: 11%\nProgress: 12%\nProgress: 13%\nProgress: 14%\nProgress: 15%\nProgress: 16%\nProgress: 17%\nProgress: 18%\nProgress: 19%\nProgress: 20%\nProgress: 21%\nProgress: 22%\nProgress: 23%\nProgress: 24%\nProgress: 25%\nProgress: 26%\nProgress: 27%\nProgress: 28%\nProgress: 29%\nProgress: 30%\nProgress: 31%\nProgress: 32%\nProgress: 33%\nProgress: 34%\nProgress: 35%\nProgress: 36%\nProgress: 37%\nProgress: 38%\nProgress: 39%\nProgress: 40%\nProgress: 41%\nProgress: 42%\nProgress: 43%\nProgress: 44%\nProgress: 45%\nProgress: 46%\nProgress: 47%\nProgress: 48%\nProgress: 49%\nProgress: 50%\nProgress: 51%\nProgress: 52%\nProgress: 53%\nProgress: 54%\nProgress: 55%\nProgress: 56%\nProgress: 57%\nProgress: 58%\nProgress: 59%\nProgress: 60%\nProgress: 61%\nProgress: 62%\nProgress: 63%\nProgress: 64%\nProgress: 65%\nProgress: 66%\nProgress: 67%\nProgress: 68%\nProgress: 69%\nProgress: 70%\nProgress: 71%\nProgress: 72%\nProgress: 73%\nProgress: 74%\nProgress: 75%\nProgress: 76%\nProgress: 77%\nProgress: 78%\nProgress: 79%\nProgress: 80%\nProgress: 81%\nProgress: 82%\nProgress: 83%\nProgress: 84%\nProgress: 85%\nProgress: 86%\nProgress: 87%\nProgress: 88%\nProgress: 89%\nProgress: 90%\nProgress: 91%\nProgress: 92%\nProgress: 93%\nProgress: 94%\nProgress: 95%\nProgress: 96%\nProgress: 97%\nProgress: 98%\nProgress: 99%\nProgress: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.32s\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/dsm_case/result/ad81844369560824840192.tif; 输入坡度 slope 文件: /onesis/kt4/dsm_case/result/sd81844369561168773120.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844369561340739584.tif; 	\N	6	015f851d-9b6a-4c28-89ca-56ee9b2411b8
93ea93cab806402e917e4824b4a4558d		2024-12-08 21:57:46.764478	2024-12-08 21:57:42.861412	{"epsg":"0","file":"/onesis/kt4/job_results/slope.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/gdal.py:312: FutureWarning: Neither gdal.UseExceptions() nor gdal.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nslope.tif is in WGS84 or based on WGS84.\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:9a587201aa814084b21db285e2be7d10	数据路径: /onesis/kt4/job_results/slope.tif; EPSG号: 0; 	\N	6	\N
a3f5c33bb0bf4dce917ba0ad15edb874		2024-10-10 21:34:55.853785	2024-10-10 21:34:34.900161	{"p":"/onesis/kt4/dsm_case/result/p1844370943674286080.tif","ad8":"/onesis/kt4/dsm_case/result/ad81844370943728812032.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nAreaD8 version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/p1844370943674286080.tif has projected coordinate system.\nNodata value input to create partition from file: -32768.000000\nNodata value recast to int16_t used in partition raster: -32768\nNumber of Processes: 1\nRead time: 0.088651\nCompute time: 0.181178\nWrite time: 0.045066\nTotal time: 0.314896\nfailed to create fsnotify watcher: too many open files	6665e8c4-ef1d-3c7a-9bfc-35ad56239a8c	汇流累积量_D8（栅格）	D8单流向栅格: /onesis/kt4/dsm_case/result/p1844370943674286080.tif; d8汇流累积量栅格: /onesis/kt4/dsm_case/result/ad81844370943728812032.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
e808454944ab4991a117183b9d167faf		2024-10-10 21:35:00.281798	2024-10-10 21:34:34.677662	{"sca":"/onesis/kt4/dsm_case/result/ad81844370943728812032.tif","slp":"/onesis/kt4/dsm_case/result/sd81844370944290848768.tif","twi":"/onesis/kt4/dsm_case/result/twi1844370944454426624.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nTopographic Wetness Index version 5.3.9\nInput file /data/onesis/kt4/dsm_case/result/sd81844370944290848768.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nInput file /data/onesis/kt4/dsm_case/result/ad81844370943728812032.tif has projected coordinate system.\nNodata value input to create partition from file: -1.000000\nNodata value recast to float used in partition raster: -1.000000\nCompute time: 0.026299\nfailed to create fsnotify watcher: too many open files	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	坡度: /onesis/kt4/dsm_case/result/sd81844370944290848768.tif; 汇流累积量: /onesis/kt4/dsm_case/result/ad81844370943728812032.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844370944454426624.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
46f1f28a949942e9abb967a7bede8e34		2024-12-03 22:15:03.68527	2024-12-03 22:14:06.40305	{"d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","t":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833539289088.csv","i":"OBJECTID","j":"id","o":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n\nAttaching package: ‘dplyr’\n\nThe following objects are masked from ‘package:stats’:\n\n    filter, lag\n\nThe following objects are masked from ‘package:base’:\n\n    intersect, setdiff, setequal, union\n\nWarning message:\nIn abbreviate_shapefile_names(obj) :\n  Field names abbreviated for ESRI Shapefile driver\n	96a25d86-5c91-3a5a-b9e8-9b88894afe55	数据连接	输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 目标数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833539289088.csv; 连接字段: OBJECTID; 对应字段: id; 结果数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
36fbe85ec2ae4e598a34420052b5afae		\N	2025-01-05 21:29:23.003151	{"sca":"/onesis/kt4/xuancheng/ad81875897380910530560.tif","slp":"/onesis/kt4/xuancheng/sd81875897381447401472.tif","twi":"/onesis/kt4/xuancheng/twi1875897381640339456.tif"}	f	\N	da1949e3-a546-335b-8507-c1231c35e2a8	地形湿度指数	汇流累积量: /onesis/kt4/xuancheng/ad81875897380910530560.tif; 地形湿度指数: /onesis/kt4/xuancheng/twi1875897381640339456.tif; 坡度: /onesis/kt4/xuancheng/sd81875897381447401472.tif; 	\N	0	1a7a151e-1504-4d5e-8f67-e3fa8549081d
97ddcce764674f42b540a53cb42ad3d0		2024-10-10 21:27:41.874364	2024-10-10 21:27:00.185071	{"inlayer3":"/onesis/kt4/dsm_case/result/o1844369037660913664.tif","inlayer2":"/onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif","inlayer1":"/onesis/kt4/dsm_case/result/sd81844369037308592128.tif","inlayer0":"/onesis/kt4/dsm_case/result/fel1844369037249871872.tif","inlayer7":"/onesis/kt4/dsm_case/result/twi1844369038386528256.tif","inlayer6":"/onesis/kt4/dsm_case/result/o1844369038281670656.tif","inlayer5":"/onesis/kt4/dsm_case/result/o1844369038059372544.tif","simithred":"0.3","inlayer4":"/onesis/kt4/dsm_case/result/plan1844369037941932032.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","target":"SOM","uncmap":"/onesis/kt4/dsm_case/result/unc.tif","predmap":"/onesis/kt4/dsm_case/result/pred.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif/data/onesis/kt4/dsm_case/result/fel1844369037249871872.tif\nLoading data ...\nTransformation operator() function called.\ncompute layer size: 93 125\nrank 0. avg compt load: 171972\n\nRunning prediction method ...\n\rCompleted     0%\rCompleted   0.1%\rCompleted   0.2%\rCompleted   0.3%\rCompleted   0.4%\rCompleted   0.5%\rCompleted   0.6%\rCompleted   0.7%\rCompleted   0.8%\rCompleted   0.9%\rCompleted     1%\rCompleted   1.1%\rCompleted   1.2%\rCompleted   1.3%\rCompleted   1.4%\rCompleted   1.5%\rCompleted   1.6%\rCompleted   1.7%\rCompleted   1.8%\rCompleted   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27.6%\rCompleted  27.7%\rCompleted  27.8%\rCompleted  27.9%\rCompleted    28%\rCompleted  28.1%\rCompleted  28.2%\rCompleted  28.3%\rCompleted  28.4%\rCompleted  28.5%\rCompleted  28.6%\rCompleted  28.7%\rCompleted  28.8%\rCompleted  28.9%\rCompleted    29%\rCompleted  29.1%\rCompleted  29.2%\rCompleted  29.3%\rCompleted  29.4%\rCompleted  29.5%\rCompleted  29.6%\rCompleted  29.7%\rCompleted  29.8%\rCompleted  29.9%\rCompleted    30%\rCompleted   100%\nWrite out result ...\n\nProcesses:4\n    Read time:2.846682\n    Compute time:7.550633\n    Write time:0.000000\n 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted  16.1%\rCompleted  16.2%\rCompleted  16.3%\rCompleted  16.4%\rCompleted  16.5%\rCompleted  16.6%\rCompleted  16.7%\rCompleted  16.8%\rCompleted  16.9%\rCompleted    17%\rCompleted  17.1%\rCompleted  17.2%\rCompleted  17.3%\rCompleted  17.4%\rCompleted  17.5%\rCompleted  17.6%\rCompleted  17.7%\rCompleted  17.8%\rCompleted  17.9%\rCompleted    18%\rCompleted  18.1%\rCompleted  18.2%\rCompleted  18.3%\rCompleted   100%%\rCompleted  33.5%\rCompleted  33.6%\rCompleted  33.7%\rCompleted  33.8%\rCompleted  33.9%\rCompleted    34%\rCompleted  34.1%\rCompleted  34.2%\rCompleted  34.3%\rCompleted  34.4%\rCompleted  34.5%\rCompleted  34.6%\rCompleted  34.7%\rCompleted  34.8%\rCompleted  34.9%\rCompleted    35%\rCompleted  35.1%\rCompleted  35.2%\rCompleted  35.3%\rCompleted  35.4%\rCompleted  35.5%\rCompleted   100% 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted   100%failed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	基于样点个体代表性的地理空间特征空间推测(iPSM)	不确定性阈值参数: 0.3; 土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOM; 土壤属性空间分布: /onesis/kt4/dsm_case/result/pred.tif; 空间推测不确定性: /onesis/kt4/dsm_case/result/unc.tif; DEM栅格: /onesis/kt4/dsm_case/result/fel1844369037249871872.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844369037308592128.tif; 汇聚指数: /onesis/kt4/dsm_case/result/RESULT1844369037828685824.tif; 坡向: /onesis/kt4/dsm_case/result/o1844369037660913664.tif; 平面曲率: /onesis/kt4/dsm_case/result/plan1844369037941932032.tif; 剖面曲率: /onesis/kt4/dsm_case/result/o1844369038059372544.tif; 水动力指数: /onesis/kt4/dsm_case/result/o1844369038281670656.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844369038386528256.tif; 	\N	6	1aa37ace-3226-4ada-b59c-530105710742
19a8151997924be99ff8688b647c2702		2024-10-10 21:35:00.279423	2024-10-10 21:34:34.80505	{"sca":"/onesis/kt4/dsm_case/result/ad81844370943728812032.tif","slope":"/onesis/kt4/dsm_case/result/sd81844370944290848768.tif","o":"/onesis/kt4/dsm_case/result/o1844370944341180416.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n*******************************\n* Welcome to StreamPowerIndex *\n* Powered by WhiteboxTools    *\n* www.whiteboxgeo.com         *\n*******************************\nReading data...\nProgress: 0%\nProgress: 1%\nProgress: 2%\nProgress: 3%\nProgress: 4%\nProgress: 5%\nProgress: 6%\nProgress: 7%\nProgress: 8%\nProgress: 9%\nProgress: 10%\nProgress: 11%\nProgress: 12%\nProgress: 13%\nProgress: 14%\nProgress: 15%\nProgress: 16%\nProgress: 17%\nProgress: 18%\nProgress: 19%\nProgress: 20%\nProgress: 21%\nProgress: 22%\nProgress: 23%\nProgress: 24%\nProgress: 25%\nProgress: 26%\nProgress: 27%\nProgress: 28%\nProgress: 29%\nProgress: 30%\nProgress: 31%\nProgress: 32%\nProgress: 33%\nProgress: 34%\nProgress: 35%\nProgress: 36%\nProgress: 37%\nProgress: 38%\nProgress: 39%\nProgress: 40%\nProgress: 41%\nProgress: 42%\nProgress: 43%\nProgress: 44%\nProgress: 45%\nProgress: 46%\nProgress: 47%\nProgress: 48%\nProgress: 49%\nProgress: 50%\nProgress: 51%\nProgress: 52%\nProgress: 53%\nProgress: 54%\nProgress: 55%\nProgress: 56%\nProgress: 57%\nProgress: 58%\nProgress: 59%\nProgress: 60%\nProgress: 61%\nProgress: 62%\nProgress: 63%\nProgress: 64%\nProgress: 65%\nProgress: 66%\nProgress: 67%\nProgress: 68%\nProgress: 69%\nProgress: 70%\nProgress: 71%\nProgress: 72%\nProgress: 73%\nProgress: 74%\nProgress: 75%\nProgress: 76%\nProgress: 77%\nProgress: 78%\nProgress: 79%\nProgress: 80%\nProgress: 81%\nProgress: 82%\nProgress: 83%\nProgress: 84%\nProgress: 85%\nProgress: 86%\nProgress: 87%\nProgress: 88%\nProgress: 89%\nProgress: 90%\nProgress: 91%\nProgress: 92%\nProgress: 93%\nProgress: 94%\nProgress: 95%\nProgress: 96%\nProgress: 97%\nProgress: 98%\nProgress: 99%\nProgress: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.16s\nfailed to create fsnotify watcher: too many open files	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/dsm_case/result/ad81844370943728812032.tif; 输入坡度 slope 文件: /onesis/kt4/dsm_case/result/sd81844370944290848768.tif; 输出栅格文件: /onesis/kt4/dsm_case/result/o1844370944341180416.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
545003f98266436ba60ecc8fe9afd00b		2024-10-10 21:35:14.590879	2024-10-10 21:34:34.644982	{"inlayer3":"/onesis/kt4/dsm_case/result/o1844370944185991168.tif","inlayer2":"/onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif","inlayer1":"/onesis/kt4/dsm_case/result/sd81844370944290848768.tif","inlayer0":"/onesis/kt4/dsm_case/result/fel1844370943523291136.tif","inlayer7":"/onesis/kt4/dsm_case/result/twi1844370944454426624.tif","inlayer6":"/onesis/kt4/dsm_case/result/o1844370944341180416.tif","inlayer5":"/onesis/kt4/dsm_case/result/o1844370943984664576.tif","simithred":"0.3","inlayer4":"/onesis/kt4/dsm_case/result/plan1844370944085327872.tif","sample":"/onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv","target":"SOM","uncmap":"/onesis/kt4/dsm_case/result/unc.tif","predmap":"/onesis/kt4/dsm_case/result/pred.tif"}	f	Pod Status: Succeeded\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: 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25.9%\rCompleted    26%\rCompleted  26.1%\rCompleted  26.2%\rCompleted  26.3%\rCompleted  26.4%\rCompleted  26.5%\rCompleted  26.6%\rCompleted  26.7%\rCompleted  26.8%\rCompleted  26.9%\rCompleted    27%\rCompleted  27.1%\rCompleted  27.2%\rCompleted  27.3%\rCompleted  27.4%\rCompleted  27.5%\rCompleted  27.6%\rCompleted  27.7%\rCompleted  27.8%\rCompleted  27.9%\rCompleted    28%\rCompleted  28.1%\rCompleted  28.2%\rCompleted  28.3%\rCompleted  28.4%\rCompleted  28.5%\rCompleted  28.6%\rCompleted  28.7%\rCompleted  28.8%\rCompleted  28.9%\rCompleted    29%\rCompleted  29.1%\rCompleted  29.2%\rCompleted  29.3%\rCompleted  29.4%\rCompleted  29.5%\rCompleted  29.6%\rCompleted  29.7%\rCompleted  29.8%\rCompleted  29.9%\rCompleted    30%\rCompleted  30.1%\rCompleted  30.2%\rCompleted  30.3%\rCompleted  30.4%\rCompleted  30.5%\rCompleted  30.6%\rCompleted  30.7%\rCompleted  30.8%\rCompleted  30.9%\rCompleted    31%\rCompleted  31.1%\rCompleted  31.2%\rCompleted  31.3%\rCompleted  31.4%\rCompleted  31.5%\rCompleted  31.6%\rCompleted  31.7%\rCompleted  31.8%\rCompleted  31.9%\rCompleted    32%\rCompleted  32.1%\rCompleted  32.2%\rCompleted  32.3%\rCompleted  32.4%\rCompleted  32.5%\rCompleted  32.6%\rCompleted  32.7%\rCompleted  32.8%\rCompleted  32.9%\rCompleted    33%\rCompleted  33.1%\rCompleted  33.2%\rCompleted  33.3%\rCompleted  33.4%\rCompleted  24.2%\rCompleted  24.3%\rCompleted  24.4%\rCompleted  24.5%\rCompleted  24.6%\rCompleted  24.7%\rCompleted  24.8%\rCompleted  24.9%\rCompleted    25%\rCompleted  25.1%\rCompleted  25.2%\rCompleted  25.3%\rCompleted  25.4%\rCompleted  25.5%\rCompleted  25.6%\rCompleted  25.7%\rCompleted  25.8%\rCompleted  25.9%\rCompleted    26%\rCompleted  26.1%\rCompleted  26.2%\rCompleted  26.3%\rCompleted  26.4%\rCompleted  26.5%\rCompleted  26.6%\rCompleted  26.7%\rCompleted  26.8%\rCompleted  26.9%\rCompleted    27%\rCompleted  27.1%\rCompleted  27.2%\rCompleted  27.3%\rCompleted  27.4%\rCompleted  27.5%\rCompleted  27.6%\rCompleted  27.7%\rCompleted  27.8%\rCompleted  27.9%\rCompleted    28%\rCompleted  28.1%\rCompleted  28.2%\rCompleted  28.3%\rCompleted  28.4%\rCompleted  28.5%\rCompleted  28.6%\rCompleted  28.7%\rCompleted  28.8%\rCompleted  28.9%\rCompleted    29%\rCompleted  29.1%\rCompleted  29.2%\rCompleted  29.3%\rCompleted  29.4%\rCompleted  29.5%\rCompleted  29.6%\rCompleted  29.7%\rCompleted  29.8%\rCompleted  29.9%\rCompleted    30%\rCompleted   100%\nWrite out result ...\n\nProcesses:4\n    Read time:2.902229\n    Compute time:7.678613\n    Write time:0.000000\n 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted   100%%\rCompleted  33.5%\rCompleted  33.6%\rCompleted  33.7%\rCompleted  33.8%\rCompleted  33.9%\rCompleted    34%\rCompleted  34.1%\rCompleted  34.2%\rCompleted  34.3%\rCompleted  34.4%\rCompleted  34.5%\rCompleted  34.6%\rCompleted  34.7%\rCompleted  34.8%\rCompleted  34.9%\rCompleted    35%\rCompleted  35.1%\rCompleted  35.2%\rCompleted  35.3%\rCompleted  35.4%\rCompleted  35.5%\rCompleted   100% 15.3%\rCompleted  15.4%\rCompleted  15.5%\rCompleted  15.6%\rCompleted  15.7%\rCompleted  15.8%\rCompleted  15.9%\rCompleted    16%\rCompleted  16.1%\rCompleted  16.2%\rCompleted  16.3%\rCompleted  16.4%\rCompleted  16.5%\rCompleted  16.6%\rCompleted  16.7%\rCompleted  16.8%\rCompleted  16.9%\rCompleted    17%\rCompleted  17.1%\rCompleted  17.2%\rCompleted  17.3%\rCompleted  17.4%\rCompleted  17.5%\rCompleted  17.6%\rCompleted  17.7%\rCompleted  17.8%\rCompleted  17.9%\rCompleted    18%\rCompleted  18.1%\rCompleted  18.2%\rCompleted  18.3%\rCompleted   100%failed to create fsnotify watcher: too many open files	7d9c8b88-f377-3870-81a6-ac7db3b9956a	iPSM	土壤样点: /onesis/kt4/dsm_case/xuancheng/xuancheng_samples.csv; 待推测土壤属性: SOM; 不确定性阈值参数: 0.3; 土壤属性空间分布: /onesis/kt4/dsm_case/result/pred.tif; 空间推测不确定性: /onesis/kt4/dsm_case/result/unc.tif; DEM栅格: /onesis/kt4/dsm_case/result/fel1844370943523291136.tif; 坡度栅格: /onesis/kt4/dsm_case/result/sd81844370944290848768.tif; 汇聚指数: /onesis/kt4/dsm_case/result/RESULT1844370943573622784.tif; 坡向: /onesis/kt4/dsm_case/result/o1844370944185991168.tif; 平面曲率: /onesis/kt4/dsm_case/result/plan1844370944085327872.tif; 剖面曲率: /onesis/kt4/dsm_case/result/o1844370943984664576.tif; 水动力指数: /onesis/kt4/dsm_case/result/o1844370944341180416.tif; 地形湿度指数: /onesis/kt4/dsm_case/result/twi1844370944454426624.tif; 	\N	6	3841776d-4c87-453f-9ac1-7678900f06d0
82c01e4c6d834476875674158cea4812		\N	2024-10-29 11:05:46.612263	{"epsg":"0","file":"/onesis/kt4/test_data/terr/dem.tif"}	f	\N	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:5cde3653ffee402abd60c99e36411a3e	数据路径: /onesis/kt4/test_data/terr/dem.tif; EPSG号: 0; 	\N	3	\N
4c84685779ea4c99bfd578c596f3e0fb		\N	2024-10-29 11:05:47.446343	{"epsg":"0","file":"/onesis/kt4/job_results/10_2_5.tif"}	f	\N	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:52b1c7442a7c434f9ec800ecadb7fc5a	数据路径: /onesis/kt4/job_results/10_2_5.tif; EPSG号: 0; 	\N	3	\N
5b9b1db1c7694549b7a0979ae0f23076		2024-12-03 22:14:14.175966	2024-12-03 22:14:06.640806	{"a":"lng","b":"lat","r":"/onesis/kt4/test_data/regr/_whhp/res/r1863949833459597312.shp","c":"EPSG:4326","f":"/onesis/kt4/test_data/regr/_whhp/school.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\nSimple feature collection with 80 features and 3 fields\nGeometry type: POINT\nDimension:     XY\nBounding box:  xmin: 114.179 ymin: 30.4531 xmax: 114.45 ymax: 30.6445\nGeodetic CRS:  WGS 84\nFirst 10 features:\n   FID fclass sid                geometry\n1    0 school   1 POINT (114.386 30.4572)\n2    1 school   2 POINT (114.424 30.5197)\n3    2 school   3 POINT (114.409 30.5178)\n4    3 school   4 POINT (114.339 30.5526)\n5    4 school   5 POINT (114.341 30.5522)\n6    5 school   6 POINT (114.338 30.5512)\n7    6 school   7 POINT (114.302 30.6087)\n8    7 school   8 POINT (114.408 30.5179)\n9    8 school   9   POINT (114.36 30.534)\n10   9 school  10  POINT (114.36 30.5343)\n	0a6495c7-e59d-3cd4-94c6-c060e262e98b	点数据csv转换成shp	点数据: /onesis/kt4/test_data/regr/_whhp/school.csv; 经度或x坐标: lng; 纬度或y坐标: lat; 结果矢量: /onesis/kt4/test_data/regr/_whhp/res/r1863949833459597312.shp; 坐标系: EPSG:4326; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
0ab996e231604ecea055fd64226ecb57		2024-12-03 22:14:56.596962	2024-12-03 22:14:06.552449	{"d":"/onesis/kt4/test_data/regr/_whhp/whhp.shp","t":"/onesis/kt4/test_data/regr/_whhp/res/r1863949833459597312.shp","i":"OBJECTID","o":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833539289088.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.3, GDAL 3.5.3, PROJ 9.0.0; sf_use_s2() is TRUE\n	0295f9ea-4ca6-3301-ac31-bc768bf9254c	最近距离计算	输入矢量数据: /onesis/kt4/test_data/regr/_whhp/whhp.shp; 目标矢量数据: /onesis/kt4/test_data/regr/_whhp/res/r1863949833459597312.shp; 结果数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833539289088.csv; 保留的id变量: OBJECTID; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
4c592c2de4464033ad828a53b67651d6		2024-12-03 22:15:41.193237	2024-12-03 22:14:06.468543	{"r":"/onesis/kt4/test_data/regr/_whhp/res/r1863949833698672640.pdf","d":"Avg_HP_","f":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp","i":"Avg_Pop,Avg_AQI,Avg_Gr_,Av_GDP_,Avg_Ln_,Avg_HP_,nrst_ds","o":"/onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nWelcome to GWmodel version 2.3-2.\nLinking to GEOS 3.9.1, GDAL 3.2.3, PROJ 7.2.1; sf_use_s2() is TRUE\nNow calibrating the model: \n Avg_HP_~Avg_Pop \nNow calibrating the model: \n Avg_HP_~Avg_AQI \nNow calibrating the model: \n Avg_HP_~Avg_Gr_ \nNow calibrating the model: \n Avg_HP_~Av_GDP_ \nNow calibrating the model: \n Avg_HP_~Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~Avg_HP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Pop \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_AQI \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Av_GDP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_HP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Avg_Pop \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Avg_AQI \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Avg_HP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_AQI \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_HP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_AQI \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_HP_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_HP_+Avg_AQI \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_HP_+Avg_Ln_ \nNow calibrating the model: \n Avg_HP_~nrst_ds+Avg_Gr_+Av_GDP_+Avg_Pop+Avg_HP_+Avg_Ln_+Avg_AQI \nThere were 16 warnings (use warnings() to see them)\n	c0486560-a036-3dee-9d57-ca7f3e5dc144	地理加权回归变量优选	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res/o1863949833614786560.shp; 因变量: Avg_HP_; 自变量: Avg_Pop,Avg_AQI,Avg_Gr_,Av_GDP_,Avg_Ln_,Avg_HP_,nrst_ds; 结果图像: /onesis/kt4/test_data/regr/_whhp/res/r1863949833698672640.pdf; 顺序结果: /onesis/kt4/test_data/regr/_whhp/res/o1863949833698672640.txt; 	\N	6	eb726c9c-6f2c-45e9-931d-5ef2dccd1134
e5b9a56d757e420d932d252bd83cb0d1		2024-12-04 12:41:57.240276	2024-12-04 12:41:53.24743	{"epsg":"0","file":"/onesis/kt4/job_results/air_mode2-01.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/osr.py:410: FutureWarning: Neither osr.UseExceptions() nor osr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nPRJ file for air_mode2-01.csv created with EPSG:4326\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:bb134b2031d540b38643b0261b979e64	数据路径: /onesis/kt4/job_results/air_mode2-01.csv; EPSG号: 0; 	\N	6	\N
c9eda550aa9845248fc528d2b8e7e42b		2024-12-04 12:38:20.140411	2024-12-04 12:38:16.113654	{"epsg":"0","file":"/onesis/kt4/job_results/air_mode3.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/osr.py:410: FutureWarning: Neither osr.UseExceptions() nor osr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nPRJ file for air_mode3.csv created with EPSG:4326\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:ca89e608b0a04429ab258629f4c6c984	数据路径: /onesis/kt4/job_results/air_mode3.csv; EPSG号: 0; 	\N	6	\N
626be3d15df84a0a96bcace1cd6614db		2024-12-04 12:48:42.564771	2024-12-04 12:48:15.071395	{"train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/","geo_coord":"x,y","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","air_quality":"PM2.5","best_arg":"/onesis/kt4/job_results/best_arg1864169821135044608.json"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n            x        y\n0    117.4570  38.8394\n1    114.3541  37.9097\n2    118.1997  39.6295\n3    119.5259  39.8283\n4    119.7624  40.0181\n..        ...      ...\n231   86.0697  44.3075\n232   87.5475  44.1756\n233  101.7227  26.5670\n234  118.0936  24.5058\n235  113.1569  36.1912\n\n[236 rows x 2 columns]\ntrain_data:           u10       v10         t2m  ...       PM2.5         x        y\n0   -1.504657 -0.878221  273.013794  ...  204.826087  117.4570  38.8394\n1    0.786217 -0.177140  271.731135  ...   81.782609  114.3541  37.9097\n2   -0.908226 -0.827674  269.900488  ...  285.565217  118.1997  39.6295\n3   -1.807954 -2.599573  274.702684  ...  150.000000  119.5259  39.8283\n4   -0.631055 -2.190917  271.465984  ...  131.913043  119.7624  40.0181\n..        ...       ...         ...  ...         ...       ...      ...\n231  0.601761 -0.591802  260.612814  ...  174.260870   86.0697  44.3075\n232  0.702411 -1.409642  257.096259  ...  189.217391   87.5475  44.1756\n233 -0.982240  0.603175  283.314504  ...   43.217391  101.7227  26.5670\n234 -1.112682 -1.291874  289.298598  ...   58.130435  118.0936  24.5058\n235 -1.192497  0.397621  272.886470  ...  187.217391  113.1569  36.1912\n\n[236 rows x 14 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\nbest_threshold: 0.475\nbest_r2: 0.17750559266939755\n	87892310-b9ea-3b28-8fce-b7c6c3c9ec3a	智能化参数选择	自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 地理坐标: x,y; 最佳参数结果: /onesis/kt4/job_results/best_arg1864169821135044608.json; 训练数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/; 	\N	6	d825aadd-bd37-4699-8824-7a7ba3a26e46
8ee00be77c8b4e5797698b90bd4ee43d		2024-12-10 04:37:46.077538	2024-12-09 17:35:01.461423	{"r":"/onesis/kt4/test_data/regr/_whhp/res/mgwr_1209.shp","d":"Avg_HP_","f":"/onesis/kt4/test_data/regr/_whhp/res/o1866053930174251008.shp","h":"/onesis/kt4/test_data/regr/_whhp/res/mgwr_1209.txt","i":"/onesis/kt4/test_data/regr/_whhp/res/o1866053930266525696.txt"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nWelcome to GWmodel version 2.4-2.\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\n------ Calculate the initial bandwidths for each independent variable ------\nNow select an optimum bandwidth for the model:  Avg_HP_~1 \n[1] "bws0[i]<-bw.gwr(Avg_HP_~1,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18299.55 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18260.68 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18209.78 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18139.43 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 18016.53 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17891.42 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17718.69 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17574.95 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17263.57 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17236.96 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17056.31 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17186.07 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17162.1 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17138.03 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17112.86 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17083.57 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17083.57 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17056.31 \nNow select an optimum bandwidth for the model:  Avg_HP_~nrst_ds \n[1] "bws0[i]<-bw.gwr(Avg_HP_~nrst_ds,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 17810.04 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 17750.68 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 17692.35 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 17626.43 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 17515.19 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17363.8 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17189.96 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17108.97 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 16958.06 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 16941.56 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 16812.46 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 16908.88 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 16888.9 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 16872.68 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 16854.6 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 16832.33 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 16832.33 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 16812.46 \nNow select an optimum bandwidth for the model:  Avg_HP_~Avg_Gr_ \n[1] "bws0[i]<-bw.gwr(Avg_HP_~Avg_Gr_,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18288.38 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18250.24 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18201.17 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18132.91 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 18008.87 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17884.83 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17714.94 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17572.88 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17268.76 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17242.3 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17076.92 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17195.41 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17173.62 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17151.63 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17129.74 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17102.67 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17102.67 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17076.92 \nNow select an optimum bandwidth for the model:  Avg_HP_~Av_GDP_ \n[1] "bws0[i]<-bw.gwr(Avg_HP_~Av_GDP_,data=regression.points,kernel=kernel,approach=approach,adaptive=adaptive,dMat=dMats[[var.dMat.indx[i]]], parallel.method=parallel.method,parallel.arg=parallel.arg)"\nAdaptive bandwidth (number of nearest neighbours): 608 AICc value: 18259.82 \nAdaptive bandwidth (number of nearest neighbours): 384 AICc value: 18214.62 \nAdaptive bandwidth (number of nearest neighbours): 243 AICc value: 18153.52 \nAdaptive bandwidth (number of nearest neighbours): 159 AICc value: 18074.02 \nAdaptive bandwidth (number of nearest neighbours): 103 AICc value: 17949.8 \nAdaptive bandwidth (number of nearest neighbours): 73 AICc value: 17837.02 \nAdaptive bandwidth (number of nearest neighbours): 49 AICc value: 17680.15 \nAdaptive bandwidth (number of nearest neighbours): 40 AICc value: 17550.1 \nAdaptive bandwidth (number of nearest neighbours): 28 AICc value: 17262.7 \nAdaptive bandwidth (number of nearest neighbours): 27 AICc value: 17236.42 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17066.01 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 25 AICc value: 17188.14 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 24 AICc value: 17165.78 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 23 AICc value: 17143.37 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 22 AICc value: 17120.28 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17092.01 \nAdaptive bandwidth (number of nearest neighbours): 21 AICc value: 17092.01 \nAdaptive bandwidth (number of nearest neighbours): 20 AICc value: 17066.01 \n------            The end for the initial selections              ------\nCalculate the initial beta0 from the above bandwidths.\nEnd of calculating the inital beta0.\nFind the optimum bandwidths for each independent variable.\n\tIteration 1\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable Intercept will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable nrst_ds will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 545\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 525\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 8\nThe bandwidth used in the last iteration is: 20 and the difference in bandwidths is: 12\nThe bandwidth for variable Av_GDP_ will be continually selected in the next iteration.\nIteration 1 change of RSS (dCVR) is 0.227236.\n\tIteration 2\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 81\nThe bandwidth used in the last iteration is: 545 and the difference in bandwidths is: 464\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 2\nThe bandwidth for variable Av_GDP_ will be continually selected in the next iteration.\nIteration 2 change of RSS (dCVR) is 0.130641.\n\tIteration 3\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 81 and the difference in bandwidths is: 12\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nIteration 3 change of RSS (dCVR) is 0.0698372.\n\tIteration 4\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nIteration 4 change of RSS (dCVR) is 0.0830211.\n\tIteration 5\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged for 4 times. It will be continually optimized in the next 1 times\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged for 4 times. It will be continually optimized in the next 1 times\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nIteration 5 change of RSS (dCVR) is 0.0585722.\n\tIteration 6\nNow select an optimum bandwidth for the variable: Intercept\nThe newly selected bandwidth for variable: Intercept is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable Intercept seems to be converged and will be kept the same in the following iterations.\nNow select an optimum bandwidth for the variable: nrst_ds\nThe newly selected bandwidth for variable: nrst_ds is 8\nThe bandwidth used in the last iteration is: 8 and the difference in bandwidths is: 0\nThe bandwidth for variable nrst_ds seems to be converged and will be kept the same in the following iterations.\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 69\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged for 4 times. It will be continually optimized in the next 1 times\nIteration 6 change of RSS (dCVR) is 0.0420334.\n\tIteration 7\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 69 and the difference in bandwidths is: 6\nThe bandwidth for variable Avg_Gr_ will be continually selected in the next iteration.\nNow select an optimum bandwidth for the variable: Av_GDP_\nThe newly selected bandwidth for variable: Av_GDP_ is 10\nThe bandwidth used in the last iteration is: 10 and the difference in bandwidths is: 0\nThe bandwidth for variable Av_GDP_ seems to be converged and will be kept the same in the following iterations.\nIteration 7 change of RSS (dCVR) is 0.0129626.\n\tIteration 8\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 1 times. It will be continually optimized in the next 4 times\nIteration 8 change of RSS (dCVR) is 0.0288156.\n\tIteration 9\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 2 times. It will be continually optimized in the next 3 times\nIteration 9 change of RSS (dCVR) is 0.0157794.\n\tIteration 10\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 3 times. It will be continually optimized in the next 2 times\nIteration 10 change of RSS (dCVR) is 0.00166599.\n\tIteration 11\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged for 4 times. It will be continually optimized in the next 1 times\nIteration 11 change of RSS (dCVR) is 0.0108984.\n\tIteration 12\nNow select an optimum bandwidth for the variable: Avg_Gr_\nThe newly selected bandwidth for variable: Avg_Gr_ is 63\nThe bandwidth used in the last iteration is: 63 and the difference in bandwidths is: 0\nThe bandwidth for variable Avg_Gr_ seems to be converged and will be kept the same in the following iterations.\nIteration 12 change of RSS (dCVR) is 0.0134445.\n\tIteration 13\nIteration 13 change of RSS (dCVR) is 0.0145317.\n\tIteration 14\nIteration 14 change of RSS (dCVR) is 0.0149677.\n\tIteration 15\nIteration 15 change of RSS (dCVR) is 0.0150649.\n\tIteration 16\nIteration 16 change of RSS (dCVR) is 0.0149756.\n\tIteration 17\nIteration 17 change of RSS (dCVR) is 0.0147825.\n\tIteration 18\nIteration 18 change of RSS (dCVR) is 0.0145329.\n\tIteration 19\nIteration 19 change of RSS (dCVR) is 0.0142544.\n\tIteration 20\nIteration 20 change of RSS (dCVR) is 0.013963.\n\tIteration 21\nIteration 21 change of RSS (dCVR) is 0.0136678.\n\tIteration 22\nIteration 22 change of RSS (dCVR) is 0.0133738.\n\tIteration 23\nIteration 23 change of RSS (dCVR) is 0.0130836.\n\tIteration 24\nIteration 24 change of RSS (dCVR) is 0.0127986.\n\tIteration 25\nIteration 25 change of RSS (dCVR) is 0.012519.\n\tIteration 26\nIteration 26 change of RSS (dCVR) is 0.0122449.\n\tIteration 27\nIteration 27 change of RSS (dCVR) is 0.0119762.\n\tIteration 28\nIteration 28 change of RSS (dCVR) is 0.0117125.\n\tIteration 29\nIteration 29 change of RSS (dCVR) is 0.0114537.\n\tIteration 30\nIteration 30 change of RSS (dCVR) is 0.0111995.\n\tIteration 31\nIteration 31 change of RSS (dCVR) is 0.0109496.\n\tIteration 32\nIteration 32 change of RSS (dCVR) is 0.0107041.\n\tIteration 33\nIteration 33 change of RSS (dCVR) is 0.0104627.\n\tIteration 34\nIteration 34 change of RSS (dCVR) is 0.0102254.\n\tIteration 35\nIteration 35 change of RSS (dCVR) is 0.00999205.\n\tIteration 36\nIteration 36 change of RSS (dCVR) is 0.00976268.\n\tIteration 37\nIteration 37 change of RSS (dCVR) is 0.00953724.\n\tIteration 38\nIteration 38 change of RSS (dCVR) is 0.0093157.\n\tIteration 39\nIteration 39 change of RSS (dCVR) is 0.00909803.\n\tIteration 40\nIteration 40 change of RSS (dCVR) is 0.00888422.\n\tIteration 41\nIteration 41 change of RSS (dCVR) is 0.00867424.\n\tIteration 42\nIteration 42 change of RSS (dCVR) is 0.00846807.\n\tIteration 43\nIteration 43 change of RSS (dCVR) is 0.00826568.\n\tIteration 44\nIteration 44 change of RSS (dCVR) is 0.00806705.\n\tIteration 45\nIteration 45 change of RSS (dCVR) is 0.00787216.\n\tIteration 46\nIteration 46 change of RSS (dCVR) is 0.00768095.\n\tIteration 47\nIteration 47 change of RSS (dCVR) is 0.00749341.\n\tIteration 48\nIteration 48 change of RSS (dCVR) is 0.00730949.\n\tIteration 49\nIteration 49 change of RSS (dCVR) is 0.00712914.\n\tIteration 50\nIteration 50 change of RSS (dCVR) is 0.00695234.\n\tIteration 51\nIteration 51 change of RSS (dCVR) is 0.00677903.\n\tIteration 52\nIteration 52 change of RSS (dCVR) is 0.00660916.\n\tIteration 53\nIteration 53 change of RSS (dCVR) is 0.00644269.\n\tIteration 54\nIteration 54 change of RSS (dCVR) is 0.00627957.\n\tIteration 55\nIteration 55 change of RSS (dCVR) is 0.00611974.\n\tIteration 56\nIteration 56 change of RSS (dCVR) is 0.00596316.\n\tIteration 57\nIteration 57 change of RSS (dCVR) is 0.00580977.\n\tIteration 58\nIteration 58 change of RSS (dCVR) is 0.00565952.\n\tIteration 59\nIteration 59 change of RSS (dCVR) is 0.00551235.\n\tIteration 60\nIteration 60 change of RSS (dCVR) is 0.00536821.\n\tIteration 61\nIteration 61 change of RSS (dCVR) is 0.00522705.\n\tIteration 62\nIteration 62 change of RSS (dCVR) is 0.00508881.\n\tIteration 63\nIteration 63 change of RSS (dCVR) is 0.00495343.\n\tIteration 64\nIteration 64 change of RSS (dCVR) is 0.00482086.\n\tIteration 65\nIteration 65 change of RSS (dCVR) is 0.00469105.\n\tIteration 66\nIteration 66 change of RSS (dCVR) is 0.00456393.\n\tIteration 67\nIteration 67 change of RSS (dCVR) is 0.00443946.\n\tIteration 68\nIteration 68 change of RSS (dCVR) is 0.00431758.\n\tIteration 69\nIteration 69 change of RSS (dCVR) is 0.00419824.\n\tIteration 70\nIteration 70 change of RSS (dCVR) is 0.00408138.\n\tIteration 71\nIteration 71 change of RSS (dCVR) is 0.00396694.\n\tIteration 72\nIteration 72 change of RSS (dCVR) is 0.00385488.\n\tIteration 73\nIteration 73 change of RSS (dCVR) is 0.00374515.\n\tIteration 74\nIteration 74 change of RSS (dCVR) is 0.00363768.\n\tIteration 75\nIteration 75 change of RSS (dCVR) is 0.00353242.\n\tIteration 76\nIteration 76 change of RSS (dCVR) is 0.00342934.\n\tIteration 77\nIteration 77 change of RSS (dCVR) is 0.00332836.\n\tIteration 78\nIteration 78 change of RSS (dCVR) is 0.00322945.\n\tIteration 79\nIteration 79 change of RSS (dCVR) is 0.00313254.\n\tIteration 80\nIteration 80 change of RSS (dCVR) is 0.0030376.\n\tIteration 81\nIteration 81 change of RSS (dCVR) is 0.00294456.\n\tIteration 82\nIteration 82 change of RSS (dCVR) is 0.00285339.\n\tIteration 83\nIteration 83 change of RSS (dCVR) is 0.00276402.\n\tIteration 84\nIteration 84 change of RSS (dCVR) is 0.00267642.\n\tIteration 85\nIteration 85 change of RSS (dCVR) is 0.00259052.\n\tIteration 86\nIteration 86 change of RSS (dCVR) is 0.00250628.\n\tIteration 87\nIteration 87 change of RSS (dCVR) is 0.00242365.\n\tIteration 88\nIteration 88 change of RSS (dCVR) is 0.00234258.\n\tIteration 89\nIteration 89 change of RSS (dCVR) is 0.00226302.\n\tIteration 90\nIteration 90 change of RSS (dCVR) is 0.00218492.\n\tIteration 91\nIteration 91 change of RSS (dCVR) is 0.00210823.\n\tIteration 92\nIteration 92 change of RSS (dCVR) is 0.00203288.\n\tIteration 93\nIteration 93 change of RSS (dCVR) is 0.00195884.\n\tIteration 94\nIteration 94 change of RSS (dCVR) is 0.00188605.\n\tIteration 95\nIteration 95 change of RSS (dCVR) is 0.00181444.\n\tIteration 96\nIteration 96 change of RSS (dCVR) is 0.00174396.\n\tIteration 97\nIteration 97 change of RSS (dCVR) is 0.00167455.\n\tIteration 98\nIteration 98 change of RSS (dCVR) is 0.00160614.\n\tIteration 99\nIteration 99 change of RSS (dCVR) is 0.00153867.\n\tIteration 100\nIteration 100 change of RSS (dCVR) is 0.00147207.\n\tIteration 101\nIteration 101 change of RSS (dCVR) is 0.00140625.\n\tIteration 102\nIteration 102 change of RSS (dCVR) is 0.00134112.\n\tIteration 103\nIteration 103 change of RSS (dCVR) is 0.0012766.\n\tIteration 104\nIteration 104 change of RSS (dCVR) is 0.00121258.\n\tIteration 105\nIteration 105 change of RSS (dCVR) is 0.00114893.\n\tIteration 106\nIteration 106 change of RSS (dCVR) is 0.00108552.\n\tIteration 107\nIteration 107 change of RSS (dCVR) is 0.00102219.\n\tIteration 108\nIteration 108 change of RSS (dCVR) is 0.000958721.\n\tIteration 109\nIteration 109 change of RSS (dCVR) is 0.000894887.\n\tIteration 110\nIteration 110 change of RSS (dCVR) is 0.000830376.\n\tIteration 111\nIteration 111 change of RSS (dCVR) is 0.000764786.\n\tIteration 112\nIteration 112 change of RSS (dCVR) is 0.000697573.\n\tIteration 113\nIteration 113 change of RSS (dCVR) is 0.000627961.\n\tIteration 114\nIteration 114 change of RSS (dCVR) is 0.000554773.\n\tIteration 115\nIteration 115 change of RSS (dCVR) is 0.000476059.\n\tIteration 116\nIteration 116 change of RSS (dCVR) is 0.000388119.\n\tIteration 117\nIteration 117 change of RSS (dCVR) is 0.000281994.\n\tIteration 118\nIteration 118 change of RSS (dCVR) is 0.000114165.\n\tIteration 119\nIteration 119 change of RSS (dCVR) is 0.000221502.\n\tIteration 120\nIteration 120 change of RSS (dCVR) is 0.000327105.\n\tIteration 121\nIteration 121 change of RSS (dCVR) is 0.000401232.\n\tIteration 122\nIteration 122 change of RSS (dCVR) is 0.000459607.\n\tIteration 123\nIteration 123 change of RSS (dCVR) is 0.000507886.\n\tIteration 124\nIteration 124 change of RSS (dCVR) is 0.000548912.\n\tIteration 125\nIteration 125 change of RSS (dCVR) is 0.000584366.\n\tIteration 126\nIteration 126 change of RSS (dCVR) is 0.000615352.\n\tIteration 127\nIteration 127 change of RSS (dCVR) is 0.000642641.\n\tIteration 128\nIteration 128 change of RSS (dCVR) is 0.000666802.\n\tIteration 129\nIteration 129 change of RSS (dCVR) is 0.000688273.\n\tIteration 130\nIteration 130 change of RSS (dCVR) is 0.000707395.\n\tIteration 131\nIteration 131 change of RSS (dCVR) is 0.000724447.\n\tIteration 132\nIteration 132 change of RSS (dCVR) is 0.000739656.\n\tIteration 133\nIteration 133 change of RSS (dCVR) is 0.000753215.\n\tIteration 134\nIteration 134 change of RSS (dCVR) is 0.000765284.\n\tIteration 135\nIteration 135 change of RSS (dCVR) is 0.000776004.\n\tIteration 136\nIteration 136 change of RSS (dCVR) is 0.000785495.\n\tIteration 137\nIteration 137 change of RSS (dCVR) is 0.000793862.\n\tIteration 138\nIteration 138 change of RSS (dCVR) is 0.000801199.\n\tIteration 139\nIteration 139 change of RSS (dCVR) is 0.00080759.\n\tIteration 140\nIteration 140 change of RSS (dCVR) is 0.000813106.\n\tIteration 141\nIteration 141 change of RSS (dCVR) is 0.000817816.\n\tIteration 142\nIteration 142 change of RSS (dCVR) is 0.000821779.\n\tIteration 143\nIteration 143 change of RSS (dCVR) is 0.000825049.\n\tIteration 144\nIteration 144 change of RSS (dCVR) is 0.000827675.\n\tIteration 145\nIteration 145 change of RSS (dCVR) is 0.000829704.\n\tIteration 146\nIteration 146 change of RSS (dCVR) is 0.000831176.\n\tIteration 147\nIteration 147 change of RSS (dCVR) is 0.000832129.\n\tIteration 148\nIteration 148 change of RSS (dCVR) is 0.000832598.\n\tIteration 149\nIteration 149 change of RSS (dCVR) is 0.000832616.\n\tIteration 150\nIteration 150 change of RSS (dCVR) is 0.000832212.\n\tIteration 151\nIteration 151 change of RSS (dCVR) is 0.000831415.\n\tIteration 152\nIteration 152 change of RSS (dCVR) is 0.00083025.\n\tIteration 153\nIteration 153 change of RSS (dCVR) is 0.00082874.\n\tIteration 154\nIteration 154 change of RSS (dCVR) is 0.00082691.\n\tIteration 155\nIteration 155 change of RSS (dCVR) is 0.000824778.\n\tIteration 156\nIteration 156 change of RSS (dCVR) is 0.000822365.\n\tIteration 157\nIteration 157 change of RSS (dCVR) is 0.00081969.\n\tIteration 158\nIteration 158 change of RSS (dCVR) is 0.000816769.\n\tIteration 159\nIteration 159 change of RSS (dCVR) is 0.000813618.\n\tIteration 160\nIteration 160 change of RSS (dCVR) is 0.000810252.\n\tIteration 161\nIteration 161 change of RSS (dCVR) is 0.000806687.\n\tIteration 162\nIteration 162 change of RSS (dCVR) is 0.000802934.\n\tIteration 163\nIteration 163 change of RSS (dCVR) is 0.000799007.\n\tIteration 164\nIteration 164 change of RSS (dCVR) is 0.000794917.\n\tIteration 165\nIteration 165 change of RSS (dCVR) is 0.000790676.\n\tIteration 166\nIteration 166 change of RSS (dCVR) is 0.000786294.\n\tIteration 167\nIteration 167 change of RSS (dCVR) is 0.000781781.\n\tIteration 168\nIteration 168 change of RSS (dCVR) is 0.000777147.\n\tIteration 169\nIteration 169 change of RSS (dCVR) is 0.0007724.\n\tIteration 170\nIteration 170 change of RSS (dCVR) is 0.00076755.\n\tIteration 171\nIteration 171 change of RSS (dCVR) is 0.000762602.\n\tIteration 172\nIteration 172 change of RSS (dCVR) is 0.000757566.\n\tIteration 173\nIteration 173 change of RSS (dCVR) is 0.000752449.\n\tIteration 174\nIteration 174 change of RSS (dCVR) is 0.000747257.\n\tIteration 175\nIteration 175 change of RSS (dCVR) is 0.000741996.\n\tIteration 176\nIteration 176 change of RSS (dCVR) is 0.000736672.\n\tIteration 177\nIteration 177 change of RSS (dCVR) is 0.000731292.\n\tIteration 178\nIteration 178 change of RSS (dCVR) is 0.000725861.\n\tIteration 179\nIteration 179 change of RSS (dCVR) is 0.000720384.\n\tIteration 180\nIteration 180 change of RSS (dCVR) is 0.000714865.\n\tIteration 181\nIteration 181 change of RSS (dCVR) is 0.00070931.\n\tIteration 182\nIteration 182 change of RSS (dCVR) is 0.000703722.\n\tIteration 183\nIteration 183 change of RSS (dCVR) is 0.000698107.\n\tIteration 184\nIteration 184 change of RSS (dCVR) is 0.000692467.\n\tIteration 185\nIteration 185 change of RSS (dCVR) is 0.000686807.\n\tIteration 186\nIteration 186 change of RSS (dCVR) is 0.00068113.\n\tIteration 187\nIteration 187 change of RSS (dCVR) is 0.00067544.\n\tIteration 188\nIteration 188 change of RSS (dCVR) is 0.000669739.\n\tIteration 189\nIteration 189 change of RSS (dCVR) is 0.000664031.\n\tIteration 190\nIteration 190 change of RSS (dCVR) is 0.000658319.\n\tIteration 191\nIteration 191 change of RSS (dCVR) is 0.000652604.\n\tIteration 192\nIteration 192 change of RSS (dCVR) is 0.000646891.\n\tIteration 193\nIteration 193 change of RSS (dCVR) is 0.000641181.\n\tIteration 194\nIteration 194 change of RSS (dCVR) is 0.000635477.\n\tIteration 195\nIteration 195 change of RSS (dCVR) is 0.00062978.\n\tIteration 196\nIteration 196 change of RSS (dCVR) is 0.000624093.\n\tIteration 197\nIteration 197 change of RSS (dCVR) is 0.000618419.\n\tIteration 198\nIteration 198 change of RSS (dCVR) is 0.000612757.\n\tIteration 199\nIteration 199 change of RSS (dCVR) is 0.000607111.\n\tIteration 200\nIteration 200 change of RSS (dCVR) is 0.000601483.\n\tIteration 201\nIteration 201 change of RSS (dCVR) is 0.000595872.\n\tIteration 202\nIteration 202 change of RSS (dCVR) is 0.000590282.\n\tIteration 203\nIteration 203 change of RSS (dCVR) is 0.000584714.\n\tIteration 204\nIteration 204 change of RSS (dCVR) is 0.000579168.\n\tIteration 205\nIteration 205 change of RSS (dCVR) is 0.000573646.\n\tIteration 206\nIteration 206 change of RSS (dCVR) is 0.00056815.\n\tIteration 207\nIteration 207 change of RSS (dCVR) is 0.000562679.\n\tIteration 208\nIteration 208 change of RSS (dCVR) is 0.000557236.\n\tIteration 209\nIteration 209 change of RSS (dCVR) is 0.000551822.\n\tIteration 210\nIteration 210 change of RSS (dCVR) is 0.000546436.\n\tIteration 211\nIteration 211 change of RSS (dCVR) is 0.000541081.\n\tIteration 212\nIteration 212 change of RSS (dCVR) is 0.000535756.\n\tIteration 213\nIteration 213 change of RSS (dCVR) is 0.000530463.\n\tIteration 214\nIteration 214 change of RSS (dCVR) is 0.000525202.\n\tIteration 215\nIteration 215 change of RSS (dCVR) is 0.000519974.\n\tIteration 216\nIteration 216 change of RSS (dCVR) is 0.000514779.\n\tIteration 217\nIteration 217 change of RSS (dCVR) is 0.000509619.\n\tIteration 218\nIteration 218 change of RSS (dCVR) is 0.000504493.\n\tIteration 219\nIteration 219 change of RSS (dCVR) is 0.000499402.\n\tIteration 220\nIteration 220 change of RSS (dCVR) is 0.000494346.\n\tIteration 221\nIteration 221 change of RSS (dCVR) is 0.000489327.\n\tIteration 222\nIteration 222 change of RSS (dCVR) is 0.000484343.\n\tIteration 223\nIteration 223 change of RSS (dCVR) is 0.000479396.\n\tIteration 224\nIteration 224 change of RSS (dCVR) is 0.000474486.\n\tIteration 225\nIteration 225 change of RSS (dCVR) is 0.000469613.\n\tIteration 226\nIteration 226 change of RSS (dCVR) is 0.000464778.\n\tIteration 227\nIteration 227 change of RSS (dCVR) is 0.00045998.\n\tIteration 228\nIteration 228 change of RSS (dCVR) is 0.000455219.\n\tIteration 229\nIteration 229 change of RSS (dCVR) is 0.000450497.\n\tIteration 230\nIteration 230 change of RSS (dCVR) is 0.000445813.\n\tIteration 231\nIteration 231 change of RSS (dCVR) is 0.000441167.\n\tIteration 232\nIteration 232 change of RSS (dCVR) is 0.000436559.\n\tIteration 233\nIteration 233 change of RSS (dCVR) is 0.000431989.\n\tIteration 234\nIteration 234 change of RSS (dCVR) is 0.000427458.\n\tIteration 235\nIteration 235 change of RSS (dCVR) is 0.000422966.\n\tIteration 236\nIteration 236 change of RSS (dCVR) is 0.000418512.\n\tIteration 237\nIteration 237 change of RSS (dCVR) is 0.000414096.\n\tIteration 238\nIteration 238 change of RSS (dCVR) is 0.000409719.\n\tIteration 239\nIteration 239 change of RSS (dCVR) is 0.00040538.\n\tIteration 240\nIteration 240 change of RSS (dCVR) is 0.000401079.\n\tIteration 241\nIteration 241 change of RSS (dCVR) is 0.000396817.\n\tIteration 242\nIteration 242 change of RSS (dCVR) is 0.000392594.\n\tIteration 243\nIteration 243 change of RSS (dCVR) is 0.000388408.\n\tIteration 244\nIteration 244 change of RSS (dCVR) is 0.00038426.\n\tIteration 245\nIteration 245 change of RSS (dCVR) is 0.000380151.\n\tIteration 246\nIteration 246 change of RSS (dCVR) is 0.000376079.\n\tIteration 247\nIteration 247 change of RSS (dCVR) is 0.000372045.\n\tIteration 248\nIteration 248 change of RSS (dCVR) is 0.000368049.\n\tIteration 249\nIteration 249 change of RSS (dCVR) is 0.00036409.\n\tIteration 250\nIteration 250 change of RSS (dCVR) is 0.000360169.\n\tIteration 251\nIteration 251 change of RSS (dCVR) is 0.000356285.\n\tIteration 252\nIteration 252 change of RSS (dCVR) is 0.000352438.\n\tIteration 253\nIteration 253 change of RSS (dCVR) is 0.000348627.\n\tIteration 254\nIteration 254 change of RSS (dCVR) is 0.000344853.\n\tIteration 255\nIteration 255 change of RSS (dCVR) is 0.000341116.\n\tIteration 256\nIteration 256 change of RSS (dCVR) is 0.000337415.\n\tIteration 257\nIteration 257 change of RSS (dCVR) is 0.00033375.\n\tIteration 258\nIteration 258 change of RSS (dCVR) is 0.000330121.\n\tIteration 259\nIteration 259 change of RSS (dCVR) is 0.000326527.\n\tIteration 260\nIteration 260 change of RSS (dCVR) is 0.000322969.\n\tIteration 261\nIteration 261 change of RSS (dCVR) is 0.000319447.\n\tIteration 262\nIteration 262 change of RSS (dCVR) is 0.000315959.\n\tIteration 263\nIteration 263 change of RSS (dCVR) is 0.000312506.\n\tIteration 264\nIteration 264 change of RSS (dCVR) is 0.000309088.\n\tIteration 265\nIteration 265 change of RSS (dCVR) is 0.000305703.\n\tIteration 266\nIteration 266 change of RSS (dCVR) is 0.000302353.\n\tIteration 267\nIteration 267 change of RSS (dCVR) is 0.000299037.\n\tIteration 268\nIteration 268 change of RSS (dCVR) is 0.000295755.\n\tIteration 269\nIteration 269 change of RSS (dCVR) is 0.000292506.\n\tIteration 270\nIteration 270 change of RSS (dCVR) is 0.00028929.\n\tIteration 271\nIteration 271 change of RSS (dCVR) is 0.000286106.\n\tIteration 272\nIteration 272 change of RSS (dCVR) is 0.000282956.\n\tIteration 273\nIteration 273 change of RSS (dCVR) is 0.000279838.\n\tIteration 274\nIteration 274 change of RSS (dCVR) is 0.000276752.\n\tIteration 275\nIteration 275 change of RSS (dCVR) is 0.000273698.\n\tIteration 276\nIteration 276 change of RSS (dCVR) is 0.000270675.\n\tIteration 277\nIteration 277 change of RSS (dCVR) is 0.000267684.\n\tIteration 278\nIteration 278 change of RSS (dCVR) is 0.000264724.\n\tIteration 279\nIteration 279 change of RSS (dCVR) is 0.000261795.\n\tIteration 280\nIteration 280 change of RSS (dCVR) is 0.000258896.\n\tIteration 281\nIteration 281 change of RSS (dCVR) is 0.000256028.\n\tIteration 282\nIteration 282 change of RSS (dCVR) is 0.00025319.\n\tIteration 283\nIteration 283 change of RSS (dCVR) is 0.000250382.\n\tIteration 284\nIteration 284 change of RSS (dCVR) is 0.000247603.\n\tIteration 285\nIteration 285 change of RSS (dCVR) is 0.000244854.\n\tIteration 286\nIteration 286 change of RSS (dCVR) is 0.000242133.\n\tIteration 287\nIteration 287 change of RSS (dCVR) is 0.000239442.\n\tIteration 288\nIteration 288 change of RSS (dCVR) is 0.000236779.\n\tIteration 289\nIteration 289 change of RSS (dCVR) is 0.000234144.\n\tIteration 290\nIteration 290 change of RSS (dCVR) is 0.000231538.\n\tIteration 291\nIteration 291 change of RSS (dCVR) is 0.000228959.\n\tIteration 292\nIteration 292 change of RSS (dCVR) is 0.000226408.\n\tIteration 293\nIteration 293 change of RSS (dCVR) is 0.000223884.\n\tIteration 294\nIteration 294 change of RSS (dCVR) is 0.000221387.\n\tIteration 295\nIteration 295 change of RSS (dCVR) is 0.000218917.\n\tIteration 296\nIteration 296 change of RSS (dCVR) is 0.000216473.\n\tIteration 297\nIteration 297 change of RSS (dCVR) is 0.000214056.\n\tIteration 298\nIteration 298 change of RSS (dCVR) is 0.000211664.\n\tIteration 299\nIteration 299 change of RSS (dCVR) is 0.000209299.\n\tIteration 300\nIteration 300 change of RSS (dCVR) is 0.000206959.\n\tIteration 301\nIteration 301 change of RSS (dCVR) is 0.000204644.\n\tIteration 302\nIteration 302 change of RSS (dCVR) is 0.000202354.\n\tIteration 303\nIteration 303 change of RSS (dCVR) is 0.00020009.\n\tIteration 304\nIteration 304 change of RSS (dCVR) is 0.000197849.\n\tIteration 305\nIteration 305 change of RSS (dCVR) is 0.000195633.\n\tIteration 306\nIteration 306 change of RSS (dCVR) is 0.000193441.\n\tIteration 307\nIteration 307 change of RSS (dCVR) is 0.000191273.\n\tIteration 308\nIteration 308 change of RSS (dCVR) is 0.000189129.\n\tIteration 309\nIteration 309 change of RSS (dCVR) is 0.000187008.\n\tIteration 310\nIteration 310 change of RSS (dCVR) is 0.00018491.\n\tIteration 311\nIteration 311 change of RSS (dCVR) is 0.000182835.\n\tIteration 312\nIteration 312 change of RSS (dCVR) is 0.000180783.\n\tIteration 313\nIteration 313 change of RSS (dCVR) is 0.000178753.\n\tIteration 314\nIteration 314 change of RSS (dCVR) is 0.000176746.\n\tIteration 315\nIteration 315 change of RSS (dCVR) is 0.00017476.\n\tIteration 316\nIteration 316 change of RSS (dCVR) is 0.000172797.\n\tIteration 317\nIteration 317 change of RSS (dCVR) is 0.000170854.\n\tIteration 318\nIteration 318 change of RSS (dCVR) is 0.000168934.\n\tIteration 319\nIteration 319 change of RSS (dCVR) is 0.000167034.\n\tIteration 320\nIteration 320 change of RSS (dCVR) is 0.000165155.\n\tIteration 321\nIteration 321 change of RSS (dCVR) is 0.000163297.\n\tIteration 322\nIteration 322 change of RSS (dCVR) is 0.00016146.\n\tIteration 323\nIteration 323 change of RSS (dCVR) is 0.000159642.\n\tIteration 324\nIteration 324 change of RSS (dCVR) is 0.000157845.\n\tIteration 325\nIteration 325 change of RSS (dCVR) is 0.000156068.\n\tIteration 326\nIteration 326 change of RSS (dCVR) is 0.00015431.\n\tIteration 327\nIteration 327 change of RSS (dCVR) is 0.000152572.\n\tIteration 328\nIteration 328 change of RSS (dCVR) is 0.000150853.\n\tIteration 329\nIteration 329 change of RSS (dCVR) is 0.000149153.\n\tIteration 330\nIteration 330 change of RSS (dCVR) is 0.000147472.\n\tIteration 331\nIteration 331 change of RSS (dCVR) is 0.000145809.\n\tIteration 332\nIteration 332 change of RSS (dCVR) is 0.000144165.\n\tIteration 333\nIteration 333 change of RSS (dCVR) is 0.000142539.\n\tIteration 334\nIteration 334 change of RSS (dCVR) is 0.000140931.\n\tIteration 335\nIteration 335 change of RSS (dCVR) is 0.000139342.\n\tIteration 336\nIteration 336 change of RSS (dCVR) is 0.000137769.\n\tIteration 337\nIteration 337 change of RSS (dCVR) is 0.000136215.\n\tIteration 338\nIteration 338 change of RSS (dCVR) is 0.000134677.\n\tIteration 339\nIteration 339 change of RSS (dCVR) is 0.000133157.\n\tIteration 340\nIteration 340 change of RSS (dCVR) is 0.000131654.\n\tIteration 341\nIteration 341 change of RSS (dCVR) is 0.000130167.\n\tIteration 342\nIteration 342 change of RSS (dCVR) is 0.000128697.\n\tIteration 343\nIteration 343 change of RSS (dCVR) is 0.000127243.\n\tIteration 344\nIteration 344 change of RSS (dCVR) is 0.000125806.\n\tIteration 345\nIteration 345 change of RSS (dCVR) is 0.000124385.\n\tIteration 346\nIteration 346 change of RSS (dCVR) is 0.000122979.\n\tIteration 347\nIteration 347 change of RSS (dCVR) is 0.000121589.\n\tIteration 348\nIteration 348 change of RSS (dCVR) is 0.000120215.\n\tIteration 349\nIteration 349 change of RSS (dCVR) is 0.000118856.\n\tIteration 350\nIteration 350 change of RSS (dCVR) is 0.000117513.\n\tIteration 351\nIteration 351 change of RSS (dCVR) is 0.000116184.\n\tIteration 352\nIteration 352 change of RSS (dCVR) is 0.00011487.\n\tIteration 353\nIteration 353 change of RSS (dCVR) is 0.000113571.\n\tIteration 354\nIteration 354 change of RSS (dCVR) is 0.000112287.\n\tIteration 355\nIteration 355 change of RSS (dCVR) is 0.000111017.\n\tIteration 356\nIteration 356 change of RSS (dCVR) is 0.000109761.\n\tIteration 357\nIteration 357 change of RSS (dCVR) is 0.000108519.\n\tIteration 358\nIteration 358 change of RSS (dCVR) is 0.000107291.\n\tIteration 359\nIteration 359 change of RSS (dCVR) is 0.000106077.\n\tIteration 360\nIteration 360 change of RSS (dCVR) is 0.000104877.\n\tIteration 361\nIteration 361 change of RSS (dCVR) is 0.00010369.\n\tIteration 362\nIteration 362 change of RSS (dCVR) is 0.000102516.\n\tIteration 363\nIteration 363 change of RSS (dCVR) is 0.000101356.\n\tIteration 364\nIteration 364 change of RSS (dCVR) is 0.000100208.\n\tIteration 365\nIteration 365 change of RSS (dCVR) is 9.90736e-05.\n\tIteration 366\nIteration 366 change of RSS (dCVR) is 9.79518e-05.\n\tIteration 367\nIteration 367 change of RSS (dCVR) is 9.68426e-05.\n\tIteration 368\nIteration 368 change of RSS (dCVR) is 9.5746e-05.\n\tIteration 369\nIteration 369 change of RSS (dCVR) is 9.46616e-05.\n\tIteration 370\nIteration 370 change of RSS (dCVR) is 9.35895e-05.\n\tIteration 371\nIteration 371 change of RSS (dCVR) is 9.25294e-05.\n\tIteration 372\nIteration 372 change of RSS (dCVR) is 9.14812e-05.\n\tIteration 373\nIteration 373 change of RSS (dCVR) is 9.04449e-05.\n\tIteration 374\nIteration 374 change of RSS (dCVR) is 8.94202e-05.\n\tIteration 375\nIteration 375 change of RSS (dCVR) is 8.84071e-05.\n\tIteration 376\nIteration 376 change of RSS (dCVR) is 8.74053e-05.\n\tIteration 377\nIteration 377 change of RSS (dCVR) is 8.64149e-05.\n\tIteration 378\nIteration 378 change of RSS (dCVR) is 8.54357e-05.\n\tIteration 379\nIteration 379 change of RSS (dCVR) is 8.44674e-05.\n\tIteration 380\nIteration 380 change of RSS (dCVR) is 8.35101e-05.\n\tIteration 381\nIteration 381 change of RSS (dCVR) is 8.25636e-05.\n\tIteration 382\nIteration 382 change of RSS (dCVR) is 8.16277e-05.\n\tIteration 383\nIteration 383 change of RSS (dCVR) is 8.07024e-05.\n\tIteration 384\nIteration 384 change of RSS (dCVR) is 7.97876e-05.\n\tIteration 385\nIteration 385 change of RSS (dCVR) is 7.88831e-05.\n\tIteration 386\nIteration 386 change of RSS (dCVR) is 7.79888e-05.\n\tIteration 387\nIteration 387 change of RSS (dCVR) is 7.71045e-05.\n\tIteration 388\nIteration 388 change of RSS (dCVR) is 7.62303e-05.\n\tIteration 389\nIteration 389 change of RSS (dCVR) is 7.53659e-05.\n\tIteration 390\nIteration 390 change of RSS (dCVR) is 7.45113e-05.\n\tIteration 391\nIteration 391 change of RSS (dCVR) is 7.36664e-05.\n\tIteration 392\nIteration 392 change of RSS (dCVR) is 7.28309e-05.\n\tIteration 393\nIteration 393 change of RSS (dCVR) is 7.2005e-05.\n\tIteration 394\nIteration 394 change of RSS (dCVR) is 7.11883e-05.\n\tIteration 395\nIteration 395 change of RSS (dCVR) is 7.03809e-05.\n\tIteration 396\nIteration 396 change of RSS (dCVR) is 6.95826e-05.\n\tIteration 397\nIteration 397 change of RSS (dCVR) is 6.87934e-05.\n\tIteration 398\nIteration 398 change of RSS (dCVR) is 6.8013e-05.\n\tIteration 399\nIteration 399 change of RSS (dCVR) is 6.72415e-05.\n\tIteration 400\nIteration 400 change of RSS (dCVR) is 6.64787e-05.\n\tIteration 401\nIteration 401 change of RSS (dCVR) is 6.57245e-05.\n\tIteration 402\nIteration 402 change of RSS (dCVR) is 6.49789e-05.\n\tIteration 403\nIteration 403 change of RSS (dCVR) is 6.42417e-05.\n\tIteration 404\nIteration 404 change of RSS (dCVR) is 6.35128e-05.\n\tIteration 405\nIteration 405 change of RSS (dCVR) is 6.27922e-05.\n\tIteration 406\nIteration 406 change of RSS (dCVR) is 6.20797e-05.\n\tIteration 407\nIteration 407 change of RSS (dCVR) is 6.13753e-05.\n\tIteration 408\nIteration 408 change of RSS (dCVR) is 6.06788e-05.\n\tIteration 409\nIteration 409 change of RSS (dCVR) is 5.99903e-05.\n\tIteration 410\nIteration 410 change of RSS (dCVR) is 5.93095e-05.\n\tIteration 411\nIteration 411 change of RSS (dCVR) is 5.86365e-05.\n\tIteration 412\nIteration 412 change of RSS (dCVR) is 5.7971e-05.\n\tIteration 413\nIteration 413 change of RSS (dCVR) is 5.73131e-05.\n\tIteration 414\nIteration 414 change of RSS (dCVR) is 5.66627e-05.\n\tIteration 415\nIteration 415 change of RSS (dCVR) is 5.60196e-05.\n\tIteration 416\nIteration 416 change of RSS (dCVR) is 5.53838e-05.\n\tIteration 417\nIteration 417 change of RSS (dCVR) is 5.47552e-05.\n\tIteration 418\nIteration 418 change of RSS (dCVR) is 5.41337e-05.\n\tIteration 419\nIteration 419 change of RSS (dCVR) is 5.35192e-05.\n\tIteration 420\nIteration 420 change of RSS (dCVR) is 5.29117e-05.\n\tIteration 421\nIteration 421 change of RSS (dCVR) is 5.23111e-05.\n\tIteration 422\nIteration 422 change of RSS (dCVR) is 5.17173e-05.\n\tIteration 423\nIteration 423 change of RSS (dCVR) is 5.11302e-05.\n\tIteration 424\nIteration 424 change of RSS (dCVR) is 5.05498e-05.\n\tIteration 425\nIteration 425 change of RSS (dCVR) is 4.9976e-05.\n\tIteration 426\nIteration 426 change of RSS (dCVR) is 4.94086e-05.\n\tIteration 427\nIteration 427 change of RSS (dCVR) is 4.88477e-05.\n\tIteration 428\nIteration 428 change of RSS (dCVR) is 4.82932e-05.\n\tIteration 429\nIteration 429 change of RSS (dCVR) is 4.77449e-05.\n\tIteration 430\nIteration 430 change of RSS (dCVR) is 4.72028e-05.\n\tIteration 431\nIteration 431 change of RSS (dCVR) is 4.66669e-05.\n\tIteration 432\nIteration 432 change of RSS (dCVR) is 4.61371e-05.\n\tIteration 433\nIteration 433 change of RSS (dCVR) is 4.56132e-05.\n\tIteration 434\nIteration 434 change of RSS (dCVR) is 4.50953e-05.\n\tIteration 435\nIteration 435 change of RSS (dCVR) is 4.45833e-05.\n\tIteration 436\nIteration 436 change of RSS (dCVR) is 4.40771e-05.\n\tIteration 437\nIteration 437 change of RSS (dCVR) is 4.35766e-05.\n\tIteration 438\nIteration 438 change of RSS (dCVR) is 4.30818e-05.\n\tIteration 439\nIteration 439 change of RSS (dCVR) is 4.25926e-05.\n\tIteration 440\nIteration 440 change of RSS (dCVR) is 4.2109e-05.\n\tIteration 441\nIteration 441 change of RSS (dCVR) is 4.16308e-05.\n\tIteration 442\nIteration 442 change of RSS (dCVR) is 4.11581e-05.\n\tIteration 443\nIteration 443 change of RSS (dCVR) is 4.06907e-05.\n\tIteration 444\nIteration 444 change of RSS (dCVR) is 4.02286e-05.\n\tIteration 445\nIteration 445 change of RSS (dCVR) is 3.97718e-05.\n\tIteration 446\nIteration 446 change of RSS (dCVR) is 3.93202e-05.\n\tIteration 447\nIteration 447 change of RSS (dCVR) is 3.88736e-05.\n\tIteration 448\nIteration 448 change of RSS (dCVR) is 3.84322e-05.\n\tIteration 449\nIteration 449 change of RSS (dCVR) is 3.79957e-05.\n\tIteration 450\nIteration 450 change of RSS (dCVR) is 3.75642e-05.\n\tIteration 451\nIteration 451 change of RSS (dCVR) is 3.71376e-05.\n\tIteration 452\nIteration 452 change of RSS (dCVR) is 3.67158e-05.\n\tIteration 453\nIteration 453 change of RSS (dCVR) is 3.62989e-05.\n\tIteration 454\nIteration 454 change of RSS (dCVR) is 3.58866e-05.\n\tIteration 455\nIteration 455 change of RSS (dCVR) is 3.5479e-05.\n\tIteration 456\nIteration 456 change of RSS (dCVR) is 3.50761e-05.\n\tIteration 457\nIteration 457 change of RSS (dCVR) is 3.46777e-05.\n\tIteration 458\nIteration 458 change of RSS (dCVR) is 3.42839e-05.\n\tIteration 459\nIteration 459 change of RSS (dCVR) is 3.38945e-05.\n\tIteration 460\nIteration 460 change of RSS (dCVR) is 3.35095e-05.\n\tIteration 461\nIteration 461 change of RSS (dCVR) is 3.31289e-05.\n\tIteration 462\nIteration 462 change of RSS (dCVR) is 3.27526e-05.\n\tIteration 463\nIteration 463 change of RSS (dCVR) is 3.23806e-05.\n\tIteration 464\nIteration 464 change of RSS (dCVR) is 3.20128e-05.\n\tIteration 465\nIteration 465 change of RSS (dCVR) is 3.16492e-05.\n\tIteration 466\nIteration 466 change of RSS (dCVR) is 3.12897e-05.\n\tIteration 467\nIteration 467 change of RSS (dCVR) is 3.09343e-05.\n\tIteration 468\nIteration 468 change of RSS (dCVR) is 3.0583e-05.\n\tIteration 469\nIteration 469 change of RSS (dCVR) is 3.02356e-05.\n\tIteration 470\nIteration 470 change of RSS (dCVR) is 2.98921e-05.\n\tIteration 471\nIteration 471 change of RSS (dCVR) is 2.95526e-05.\n\tIteration 472\nIteration 472 change of RSS (dCVR) is 2.92169e-05.\n\tIteration 473\nIteration 473 change of RSS (dCVR) is 2.8885e-05.\n\tIteration 474\nIteration 474 change of RSS (dCVR) is 2.85569e-05.\n\tIteration 475\nIteration 475 change of RSS (dCVR) is 2.82325e-05.\n\tIteration 476\nIteration 476 change of RSS (dCVR) is 2.79118e-05.\n\tIteration 477\nIteration 477 change of RSS (dCVR) is 2.75948e-05.\n\tIteration 478\nIteration 478 change of RSS (dCVR) is 2.72813e-05.\n\tIteration 479\nIteration 479 change of RSS (dCVR) is 2.69714e-05.\n\tIteration 480\nIteration 480 change of RSS (dCVR) is 2.6665e-05.\n\tIteration 481\nIteration 481 change of RSS (dCVR) is 2.63621e-05.\n\tIteration 482\nIteration 482 change of RSS (dCVR) is 2.60627e-05.\n\tIteration 483\nIteration 483 change of RSS (dCVR) is 2.57666e-05.\n\tIteration 484\nIteration 484 change of RSS (dCVR) is 2.54739e-05.\n\tIteration 485\nIteration 485 change of RSS (dCVR) is 2.51845e-05.\n\tIteration 486\nIteration 486 change of RSS (dCVR) is 2.48984e-05.\n\tIteration 487\nIteration 487 change of RSS (dCVR) is 2.46156e-05.\n\tIteration 488\nIteration 488 change of RSS (dCVR) is 2.4336e-05.\n\tIteration 489\nIteration 489 change of RSS (dCVR) is 2.40595e-05.\n\tIteration 490\nIteration 490 change of RSS (dCVR) is 2.37862e-05.\n\tIteration 491\nIteration 491 change of RSS (dCVR) is 2.3516e-05.\n\tIteration 492\nIteration 492 change of RSS (dCVR) is 2.32488e-05.\n\tIteration 493\nIteration 493 change of RSS (dCVR) is 2.29847e-05.\n\tIteration 494\nIteration 494 change of RSS (dCVR) is 2.27236e-05.\n\tIteration 495\nIteration 495 change of RSS (dCVR) is 2.24654e-05.\n\tIteration 496\nIteration 496 change of RSS (dCVR) is 2.22102e-05.\n\tIteration 497\nIteration 497 change of RSS (dCVR) is 2.19579e-05.\n\tIteration 498\nIteration 498 change of RSS (dCVR) is 2.17085e-05.\n\tIteration 499\nIteration 499 change of RSS (dCVR) is 2.14619e-05.\n\tIteration 500\nIteration 500 change of RSS (dCVR) is 2.1218e-05.\n\tIteration 501\nIteration 501 change of RSS (dCVR) is 2.0977e-05.\n\tIteration 502\nIteration 502 change of RSS (dCVR) is 2.07386e-05.\n\tIteration 503\nIteration 503 change of RSS (dCVR) is 2.05031e-05.\n\tIteration 504\nIteration 504 change of RSS (dCVR) is 2.02701e-05.\n\tIteration 505\nIteration 505 change of RSS (dCVR) is 2.00398e-05.\n\tIteration 506\nIteration 506 change of RSS (dCVR) is 1.98122e-05.\n\tIteration 507\nIteration 507 change of RSS (dCVR) is 1.95871e-05.\n\tIteration 508\nIteration 508 change of RSS (dCVR) is 1.93646e-05.\n\tIteration 509\nIteration 509 change of RSS (dCVR) is 1.91446e-05.\n\tIteration 510\nIteration 510 change of RSS (dCVR) is 1.8927e-05.\n\tIteration 511\nIteration 511 change of RSS (dCVR) is 1.8712e-05.\n\tIteration 512\nIteration 512 change of RSS (dCVR) is 1.84995e-05.\n\tIteration 513\nIteration 513 change of RSS (dCVR) is 1.82893e-05.\n\tIteration 514\nIteration 514 change of RSS (dCVR) is 1.80815e-05.\n\tIteration 515\nIteration 515 change of RSS (dCVR) is 1.78761e-05.\n\tIteration 516\nIteration 516 change of RSS (dCVR) is 1.7673e-05.\n\tIteration 517\nIteration 517 change of RSS (dCVR) is 1.74722e-05.\n\tIteration 518\nIteration 518 change of RSS (dCVR) is 1.72737e-05.\n\tIteration 519\nIteration 519 change of RSS (dCVR) is 1.70774e-05.\n\tIteration 520\nIteration 520 change of RSS (dCVR) is 1.68834e-05.\n\tIteration 521\nIteration 521 change of RSS (dCVR) is 1.66916e-05.\n\tIteration 522\nIteration 522 change of RSS (dCVR) is 1.65019e-05.\n\tIteration 523\nIteration 523 change of RSS (dCVR) is 1.63145e-05.\n\tIteration 524\nIteration 524 change of RSS (dCVR) is 1.61291e-05.\n\tIteration 525\nIteration 525 change of RSS (dCVR) is 1.59459e-05.\n\tIteration 526\nIteration 526 change of RSS (dCVR) is 1.57647e-05.\n\tIteration 527\nIteration 527 change of RSS (dCVR) is 1.55856e-05.\n\tIteration 528\nIteration 528 change of RSS (dCVR) is 1.54085e-05.\n\tIteration 529\nIteration 529 change of RSS (dCVR) is 1.52334e-05.\n\tIteration 530\nIteration 530 change of RSS (dCVR) is 1.50604e-05.\n\tIteration 531\nIteration 531 change of RSS (dCVR) is 1.48893e-05.\n\tIteration 532\nIteration 532 change of RSS (dCVR) is 1.47201e-05.\n\tIteration 533\nIteration 533 change of RSS (dCVR) is 1.45529e-05.\n\tIteration 534\nIteration 534 change of RSS (dCVR) is 1.43875e-05.\n\tIteration 535\nIteration 535 change of RSS (dCVR) is 1.4224e-05.\n\tIteration 536\nIteration 536 change of RSS (dCVR) is 1.40624e-05.\n\tIteration 537\nIteration 537 change of RSS (dCVR) is 1.39027e-05.\n\tIteration 538\nIteration 538 change of RSS (dCVR) is 1.37447e-05.\n\tIteration 539\nIteration 539 change of RSS (dCVR) is 1.35886e-05.\n\tIteration 540\nIteration 540 change of RSS (dCVR) is 1.34341e-05.\n\tIteration 541\nIteration 541 change of RSS (dCVR) is 1.32815e-05.\n\tIteration 542\nIteration 542 change of RSS (dCVR) is 1.31306e-05.\n\tIteration 543\nIteration 543 change of RSS (dCVR) is 1.29814e-05.\n\tIteration 544\nIteration 544 change of RSS (dCVR) is 1.28339e-05.\n\tIteration 545\nIteration 545 change of RSS (dCVR) is 1.26881e-05.\n\tIteration 546\nIteration 546 change of RSS (dCVR) is 1.2544e-05.\n\tIteration 547\nIteration 547 change of RSS (dCVR) is 1.24014e-05.\n\tIteration 548\nIteration 548 change of RSS (dCVR) is 1.22606e-05.\n\tIteration 549\nIteration 549 change of RSS (dCVR) is 1.21212e-05.\n\tIteration 550\nIteration 550 change of RSS (dCVR) is 1.19835e-05.\n\tIteration 551\nIteration 551 change of RSS (dCVR) is 1.18474e-05.\n\tIteration 552\nIteration 552 change of RSS (dCVR) is 1.17127e-05.\n\tIteration 553\nIteration 553 change of RSS (dCVR) is 1.15797e-05.\n\tIteration 554\nIteration 554 change of RSS (dCVR) is 1.14481e-05.\n\tIteration 555\nIteration 555 change of RSS (dCVR) is 1.13181e-05.\n\tIteration 556\nIteration 556 change of RSS (dCVR) is 1.11894e-05.\n\tIteration 557\nIteration 557 change of RSS (dCVR) is 1.10623e-05.\n\tIteration 558\nIteration 558 change of RSS (dCVR) is 1.09366e-05.\n\tIteration 559\nIteration 559 change of RSS (dCVR) is 1.08124e-05.\n\tIteration 560\nIteration 560 change of RSS (dCVR) is 1.06895e-05.\n\tIteration 561\nIteration 561 change of RSS (dCVR) is 1.0568e-05.\n\tIteration 562\nIteration 562 change of RSS (dCVR) is 1.0448e-05.\n\tIteration 563\nIteration 563 change of RSS (dCVR) is 1.03293e-05.\n\tIteration 564\nIteration 564 change of RSS (dCVR) is 1.02119e-05.\n\tIteration 565\nIteration 565 change of RSS (dCVR) is 1.00959e-05.\n\tIteration 566\nIteration 566 change of RSS (dCVR) is 9.98123e-06.\n   ***********************************************************************\n   *                       Package   GWmodel                             *\n   ***********************************************************************\n   Program starts at: 2024-12-09 09:44:40 \n   Call:\n   gwr.multiscale(formula = mgwrformula, data = spdata, kernel = kernel, \n    adaptive = adaptive, parallel.method = parallelmethod, parallel.arg = parallelarg)\n\n   Dependent (y) variable:  Avg_HP_\n   Independent variables:  nrst_ds Avg_Gr_ Av_GDP_\n   Number of data points: 973\n   ***********************************************************************\n   *                       Multiscale (PSDM) GWR                          *\n   ***********************************************************************\n\n   *********************Model calibration information*********************\n   Kernel function: gaussian \n   Adaptive bandwidths for each coefficient(number of nearest neighbours): \n              (Intercept) nrst_ds Avg_Gr_ Av_GDP_\n   Bandwidth            8       8      63      10\n\n   *************Summary of multiscale GWR coefficient estimates:***************\n                    Min.     1st Qu.      Median     3rd Qu.       Max.\n   Intercept  9.1775e+03  1.3535e+04  1.5142e+04  1.6548e+04 22736.2527\n   nrst_ds   -3.3579e+00 -7.7424e-01 -4.6883e-01 -4.8999e-02     1.5050\n   Avg_Gr_   -1.5374e+03  5.8256e+01  6.9691e+02  1.1548e+03  2822.1162\n   Av_GDP_   -1.0748e+00 -1.4344e-01  2.9361e-02  1.9283e-01     1.6643\n   ************************Diagnostic information*************************\n   Number of data points: 973 \n   Effective number of parameters (2trace(S) - trace(S'S)): 204.9156 \n   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 768.0844 \n   AICc value:  16359.65 \n   AIC value:  16155.4 \n   BIC value:  16052.46 \n   Residual sum of squares:  795233782 \n   R-square value:  0.9106027 \n   Adjusted R-square value:  0.8867215 \n\n   ***********************************************************************\n   Program stops at: 2024-12-09 20:36:53 \nWarning message:\nIn abbreviate_shapefile_names(obj) :\n  Field names abbreviated for ESRI Shapefile driver\n	cec1667f-dfc0-37f4-98d6-b9d0895d3e9c	多尺度地理加权回归(txt输入自变量)	矢量空间数据: /onesis/kt4/test_data/regr/_whhp/res/o1866053930174251008.shp; txt变量顺序: /onesis/kt4/test_data/regr/_whhp/res/o1866053930266525696.txt; 因变量: Avg_HP_; 结果空间数据: /onesis/kt4/test_data/regr/_whhp/res/mgwr_1209.shp; 模型诊断信息: /onesis/kt4/test_data/regr/_whhp/res/mgwr_1209.txt; 	\N	6	74b2e657-daf3-4e0d-b5dd-725dfe6afcd6
b3c1646bb15b42ce92a48b19915a89ad		2024-12-30 13:20:09.426249	2024-12-30 10:51:32.184032	{"sca":"/onesis/kt4/job_results/1_ipsm/ad81873562532086677504.tif","slope":"/onesis/kt4/job_results/1_ipsm/sd81873562531356868608.tif","o":"/onesis/kt4/job_results/1_ipsm/o1873562532162174976.tif"}	f	\N	e4d5b0ab-6d31-3fae-9c44-817b0a0b4df7	水流功率指数	输入单位汇水面积 sca 文件: /onesis/kt4/job_results/1_ipsm/ad81873562532086677504.tif; 输入坡度 slope 文件: /onesis/kt4/job_results/1_ipsm/sd81873562531356868608.tif; 输出栅格文件: /onesis/kt4/job_results/1_ipsm/o1873562532162174976.tif; 	\N	9	f80ddfab-a1a2-4117-a7b1-7f57d6847384
788cad92c7d64110ba71ee4638b52981		2024-12-04 12:44:09.196971	2024-12-04 12:43:40.818324	{"train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/","geo_coord":"x,y","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","air_quality":"PM2.5","best_arg":"/onesis/kt4/job_results/air-mode1_1204.json"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010421.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n            x        y\n0    117.4570  38.8394\n1    114.3541  37.9097\n2    118.1997  39.6295\n3    119.5259  39.8283\n4    119.7624  40.0181\n..        ...      ...\n231   86.0697  44.3075\n232   87.5475  44.1756\n233  101.7227  26.5670\n234  118.0936  24.5058\n235  113.1569  36.1912\n\n[236 rows x 2 columns]\ntrain_data:           u10       v10         t2m  ...       PM2.5         x        y\n0   -1.640743 -0.860563  273.150461  ...  203.458333  117.4570  38.8394\n1    0.790372 -0.217611  271.790785  ...   86.875000  114.3541  37.9097\n2   -0.990183 -0.839658  269.928228  ...  282.583333  118.1997  39.6295\n3   -1.980586 -2.696221  274.631896  ...  146.250000  119.5259  39.8283\n4   -0.705750 -2.260111  271.373622  ...  130.833333  119.7624  40.0181\n..        ...       ...         ...  ...         ...       ...      ...\n231  0.648333 -0.588518  260.514139  ...  178.041667   86.0697  44.3075\n232  0.748970 -1.401752  256.965202  ...  190.125000   87.5475  44.1756\n233 -0.965013  0.604648  283.207503  ...   41.958333  101.7227  26.5670\n234 -1.055777 -1.273097  289.279029  ...   58.291667  118.0936  24.5058\n235 -1.215249  0.367138  272.866162  ...  186.625000  113.1569  36.1912\n\n[236 rows x 14 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\nbest_threshold: 0.475\nbest_r2: 0.11221544152212798\n	87892310-b9ea-3b28-8fce-b7c6c3c9ec3a	智能化参数选择-124342	自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 地理坐标: x,y; 训练数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/; 最佳参数结果: /onesis/kt4/job_results/air-mode1_1204.json; 	\N	6	\N
2a6de86920cb4ce1aad8add4fe5d84f4		2024-12-04 12:48:55.712933	2024-12-04 12:48:14.77451	{"cluster_result":"/onesis/kt4/job_results/cluster_result1864169821197959168.csv","geo_coord":"x,y","output_pred":"/onesis/kt4/job_results/air_prediction_result_1204.csv","iVariables":"/onesis/kt4/job_results/iVariables1864169821197959168.json","air_quality":"PM2.5","pred_data_path":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\n分区: 2 参数: [-9.17260618e+01  1.15499769e+00 -7.40924971e-02  2.99461750e-01\n -1.52553604e+00] r2: 0.04847284127008744\n分区: 1 参数: [-1.14783449e+01  1.03024321e+00 -1.77088043e-01  8.22878304e-03\n -7.51832896e-01] r2: 0.1362039547508621\n分区: 0 参数: [-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864] r2: 0.12968084093122045\n分区: 3 参数: [-6.72655057  0.88644638 -0.06857409 -0.07571871  1.39279085] r2: 0.13450412913640308\n[-16.20075884   0.95799733  -0.11488578   0.04130823   0.50384864]\n(236, 4)\n(5,)\n(236,)\n[396.17703522 440.11946815 465.78721446 149.03330726 239.2668603\n 411.39272227 557.69985264 198.12144644 126.69475322 320.41926066\n 171.61539574 167.18630816 113.70423662 103.22910083 156.62455397\n 152.23310223 106.19298763 275.74487015 209.77656399 271.03594089\n 158.31059713 197.40603472 222.63380295 256.44311477 260.1729824\n 331.11126276 254.43295789 431.16323707 418.62896274 309.31697001\n 236.08356268  78.78841984  60.03903233  64.8285143  148.37529542\n 141.52021318 312.78381693 227.76116587 105.06769494 146.28788292\n 833.97199623 424.09415782 463.79435731 202.71642708 234.34897757\n 280.69036558 350.75215705  97.03563916 102.97617794  93.95096881\n  91.3990686  100.43586958 351.05256207 118.08563428 118.61950159\n 125.70559466 146.71765689 157.13819144  77.93290573 276.18537576\n 403.46214467 390.36298146 544.25834349  96.99605583  45.26018141\n 145.5668589  843.39800678 848.70295619 416.25326901 317.30945353\n 267.59200806 225.23289553 191.26128042 149.50221839 102.74888203\n 351.86295938 572.73696958 508.38880794 485.6235902  604.13122463\n 694.14006136 154.4216226  401.48954481 438.14847849 420.46670392\n 106.44329187  74.48481909  68.20073605  91.52043078 141.01019813\n 143.58265439  95.1365097  153.74951554 239.79164642 109.34951\n 107.48138924 103.50260982 221.95156767 245.26226003 201.71236032\n 529.84144821 396.5102584  206.08247047 272.45981367 266.80406409\n 491.74598665 448.9110954  349.55809293 392.57367448 388.18399575\n 397.23489106 457.20939221 770.78712227 276.74119245  67.45542648\n 380.36229495 476.59524164  43.48904215 640.88797899 280.06835662\n 845.44415635 749.43622287 402.5170224  700.70622244 839.7164304\n 310.04455601 201.44935419 188.48758681 445.29015938  96.1750258\n 178.36481854 166.65283042 174.84143746 246.92569813 162.00815874\n 353.88387704 332.95704806 291.27950985 185.18374818 581.4469131\n 254.11136302  94.48195865 259.91685583 180.71111809 196.92510013\n  72.38242603 364.29761555 242.55990169 149.79238673 498.03252546\n  55.89859889  69.40310519 308.3773301  267.07341838 274.40345295\n 339.40426836 376.78302989 357.02368093 325.82452504 276.62242526\n 332.61486537 125.99811546 144.61993618 118.52033303 135.19517623\n 120.835986   120.33575073 300.16128656 459.06235963 396.68253605\n 541.48335696 369.40599752 395.55008862 330.79240091 322.48031196\n 450.03666446 375.22849345 414.42847136 220.84641959 127.21178498\n 323.08086731 459.36437395 181.22939056 459.48752461 236.26781916\n 450.1962574  320.79503976 506.16126829 336.63394473 373.47717222\n 670.49744871 265.28517739 135.90710619 274.94896314 250.71209262\n 328.73968982 163.74610484 296.72835586 255.25745771 297.99748595\n 407.45734092 651.26657424 473.82825884 351.1842736  125.40313417\n  80.05780964  60.8731675  106.6258979  298.50186774  80.61790271\n  58.83653333  87.8784506   64.29725017  71.26237703  76.19169259\n 274.43725859 145.23515721 161.33597113 193.74639693 227.59942663\n 507.98745965 354.32328377 139.54759323 340.54707414 306.34871899\n 108.64584096 232.33494846 135.05560146 150.90761716 195.18844667\n 222.18795846 547.43333005 449.88763781  54.61502136 147.90030662\n 382.6595909 ]\n	e064bcfe-b606-39a2-b35f-09f1f9944f89	空气质量预测多元线性回归	独立变量: /onesis/kt4/job_results/iVariables1864169821197959168.json; 区域聚类结果: /onesis/kt4/job_results/cluster_result1864169821197959168.csv; 待预测的空气质量指标: PM2.5; 地理坐标: x,y; 预测数据路径: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode3_multiple_liner_predication/data/china_sites_2017010421.csv; 预测结果输出: /onesis/kt4/job_results/air_prediction_result_1204.csv; 	\N	6	d825aadd-bd37-4699-8824-7a7ba3a26e46
62f7715fd91b498d82635d5b78a5b840		2024-12-04 12:48:50.656879	2024-12-04 12:48:15.017345	{"sigma":"1.5","train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/","geo_coord":"x,y","cluster_result":"/onesis/kt4/job_results/cluster_result1864169821197959168.csv","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","X":"2","Y":"2","iVariables":"/onesis/kt4/job_results/iVariables1864169821197959168.json","air_quality":"PM2.5","k":"100","best_arg":"/onesis/kt4/job_results/best_arg1864169821135044608.json","N_epoch":"100"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.504657 -0.878221  273.013794  ...   6.304348  20.347826  204.826087\n1  0.786217 -0.177140  271.731135  ...  98.173913  57.086957   81.782609\n2 -0.908226 -0.827674  269.900488  ...  10.260870  49.130435  285.565217\n3 -1.807954 -2.599573  274.702684  ...  31.130435  58.869565  150.000000\n4 -0.631055 -2.190917  271.465984  ...  19.521739  66.434783  131.913043\n\n[5 rows x 12 columns]\n{'AQI': 0.9939953734386318, 'PM10': 0.9702703712733087, 'NO2': 0.6916964527542312, 'CO': 0.6785650379279617}\n          u10       v10         t2m  ...         x        y  region\n0   -1.504657 -0.878221  273.013794  ...  117.4570  38.8394       1\n1    0.786217 -0.177140  271.731135  ...  114.3541  37.9097       2\n2   -0.908226 -0.827674  269.900488  ...  118.1997  39.6295       1\n3   -1.807954 -2.599573  274.702684  ...  119.5259  39.8283       1\n4   -0.631055 -2.190917  271.465984  ...  119.7624  40.0181       0\n..        ...       ...         ...  ...       ...      ...     ...\n231  0.601761 -0.591802  260.612814  ...   86.0697  44.3075       0\n232  0.702411 -1.409642  257.096259  ...   87.5475  44.1756       3\n233 -0.982240  0.603175  283.314504  ...  101.7227  26.5670       2\n234 -1.112682 -1.291874  289.298598  ...  118.0936  24.5058       2\n235 -1.192497  0.397621  272.886470  ...  113.1569  36.1912       1\n\n[236 rows x 15 columns]\n	38551381-f4bd-3728-850c-c2d4460669b8	空气质量预测聚类分区	最佳参数结果: /onesis/kt4/job_results/best_arg1864169821135044608.json; 自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 地理坐标: x,y; 聚类行数: 2; 聚类列数: 2; GeoSOM算法迭代次数: 100; 地理邻域大小参数: 100; 初始邻域大小阈值: 1.5; 区域聚类结果: /onesis/kt4/job_results/cluster_result1864169821197959168.csv; 独立变量: /onesis/kt4/job_results/iVariables1864169821197959168.json; 训练数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/data_folder/; 	\N	6	d825aadd-bd37-4699-8824-7a7ba3a26e46
f64abf6a9ae9436584cc8f801ed7a879		2024-12-06 19:31:57.796556	2024-12-06 19:31:29.940237	{"train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/","geo_coord":"x,y","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","air_quality":"PM2.5","best_arg":"/onesis/kt4/job_results/best_arg1864996077808254976.json"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010421.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n            x        y\n0    117.4570  38.8394\n1    114.3541  37.9097\n2    118.1997  39.6295\n3    119.5259  39.8283\n4    119.7624  40.0181\n..        ...      ...\n231   86.0697  44.3075\n232   87.5475  44.1756\n233  101.7227  26.5670\n234  118.0936  24.5058\n235  113.1569  36.1912\n\n[236 rows x 2 columns]\ntrain_data:           u10       v10         t2m  ...       PM2.5         x        y\n0   -1.640743 -0.860563  273.150461  ...  203.458333  117.4570  38.8394\n1    0.790372 -0.217611  271.790785  ...   86.875000  114.3541  37.9097\n2   -0.990183 -0.839658  269.928228  ...  282.583333  118.1997  39.6295\n3   -1.980586 -2.696221  274.631896  ...  146.250000  119.5259  39.8283\n4   -0.705750 -2.260111  271.373622  ...  130.833333  119.7624  40.0181\n..        ...       ...         ...  ...         ...       ...      ...\n231  0.648333 -0.588518  260.514139  ...  178.041667   86.0697  44.3075\n232  0.748970 -1.401752  256.965202  ...  190.125000   87.5475  44.1756\n233 -0.965013  0.604648  283.207503  ...   41.958333  101.7227  26.5670\n234 -1.055777 -1.273097  289.279029  ...   58.291667  118.0936  24.5058\n235 -1.215249  0.367138  272.866162  ...  186.625000  113.1569  36.1912\n\n[236 rows x 14 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\nbest_threshold: 0.475\nbest_r2: 0.11221544152212798\n	87892310-b9ea-3b28-8fce-b7c6c3c9ec3a	相关性分析与特征选择	空气质量自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 气象站点地理坐标: x,y; 最优自变量和权重结果: /onesis/kt4/job_results/best_arg1864996077808254976.json; 历史空气质量数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/; 	\N	6	bd5c2ba8-c84d-492f-88cd-1cea6f2a96c3
a7fb63aa1d6e4c1ca554e56b6a5f8665		2024-12-08 21:11:40.265074	2024-12-08 21:11:36.145165	{"sd8":"/onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif","fel":"/onesis/kt4/data/rf_workflow/origin_data/dem/dem.tif"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nD8FlowDir version 5.3.9\nInput file /data/onesis/kt4/data/rf_workflow/origin_data/dem/dem.tif has geographic coordinate system.\nNodata value input to create partition from file: -340282306073709652508363335590014353408.000000\nNodata value recast to float used in partition raster: -340282306073709652508363335590014353408.000000\nThis run may take on the order of 1 minutes to complete.\nThis estimate is very approximate. \nRun time is highly uncertain as it depends on the complexity of the input data \nand speed and memory of the computer. This estimate is based on our testing on \na dual quad core Dell Xeon E5405 2.0GHz PC with 16GB RAM.\nERROR 4: Attempt to create new tiff file `/data/onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif' failed: No error information\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetProjection'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALSetGeoTransform'.\nRaterIO trouble: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALGetRasterBand'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALSetRasterNoDataValue'.\n\nERROR 10: Pointer 'hBand' is NULL in 'GDALRasterIO'.\n\nERROR 10: Pointer 'hDS' is NULL in 'GDALFlushCache'.\n\nAll slopes evaluated. 3090 flats to resolve.\nDraining flats towards lower adjacent terrain\n.......\nDraining flats away from higher adjacent terrain\n.........\nSetting directions\nIteration complete. Number of flats remaining: 6\nDraining flats towards lower adjacent terrain\n.\nDraining flats away from higher adjacent terrain\n..\nSetting directions\nProcessors: 1\nHeader read time: 0.138566\nData read time: 0.000537\nCompute Slope time: 0.001112\nWrite Slope time: 0.010069\nResolve Flat time: 0.007817\nWrite Flat time: 0.001951\nTotal time: 0.160051\n	d3639683-4569-3091-84dd-3bf440f04df0	坡度（最大下坡）	已填洼数字高程模型: /onesis/kt4/data/rf_workflow/origin_data/dem/dem.tif; 坡度栅格: /onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif; 	\N	6	dff839e2-1cf5-4a90-8aa1-ebde54892168
e28a1aa2550340b6b4af38efbda2f2a5		2024-12-08 21:12:30.555875	2024-12-08 21:11:36.119504	{"op":"/onesis/kt4/data/rf_workflow/process_data/op1865746046383161344.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/water/waterways.shp","height":"69"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=a7fb63aa1d6e4c1ca554e56b6a5f8665, listenThread=thread6}\n        managedFields: null\n        name: a7fb63aa1d6e4c1ca554e56b6a5f8665\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=a7fb63aa1d6e4c1ca554e56b6a5f8665}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-np, 1, d8flowdir, -fel, /data/onesis/kt4/data/rf_workflow/origin_data/dem/dem.tif, -sd8, /data/onesis/kt4/data/rf_workflow/process_data/sd81865746046458658816.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/taudem_ext:5.3.9\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: a7fb63aa1d6e4c1ca554e56b6a5f8665\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	9b6f0379-c38c-304f-baf0-0a95fd17ac30	欧氏距离分析(水流)	输入文件: /onesis/kt4/data/rf_workflow/origin_data/water/waterways.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/op1865746046383161344.tif; 	\N	7	dff839e2-1cf5-4a90-8aa1-ebde54892168
af8b07830793414aa263db949f640d17		2024-12-04 14:19:16.78857	2024-12-04 14:19:11.550062	{"a":"lng","r":"/onesis/kt4/test_data/regr/_whhp/res/r1864192708759912448.shp","b":"lat","c":"EPSG:4326","f":"/onesis/kt4/test_data/regr/_whhp/school.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nLinking to GEOS 3.10.2, GDAL 3.4.3, PROJ 8.2.0; sf_use_s2() is TRUE\nSimple feature collection with 80 features and 3 fields\nGeometry type: POINT\nDimension:     XY\nBounding box:  xmin: 114.179 ymin: 30.4531 xmax: 114.45 ymax: 30.6445\nGeodetic CRS:  WGS 84\nFirst 10 features:\n   FID fclass sid                geometry\n1    0 school   1 POINT (114.386 30.4572)\n2    1 school   2 POINT (114.424 30.5197)\n3    2 school   3 POINT (114.409 30.5178)\n4    3 school   4 POINT (114.339 30.5526)\n5    4 school   5 POINT (114.341 30.5522)\n6    5 school   6 POINT (114.338 30.5512)\n7    6 school   7 POINT (114.302 30.6087)\n8    7 school   8 POINT (114.408 30.5179)\n9    8 school   9   POINT (114.36 30.534)\n10   9 school  10  POINT (114.36 30.5343)\n	0a6495c7-e59d-3cd4-94c6-c060e262e98b	点数据csv转换成shp	结果矢量: /onesis/kt4/test_data/regr/_whhp/res/r1864192708759912448.shp; 点数据: /onesis/kt4/test_data/regr/_whhp/school.csv; 坐标系: EPSG:4326; 经度或x坐标: lng; 纬度或y坐标: lat; 	\N	6	22a9b451-24d7-4ad1-a12c-1554b1919876
aa2184ae372a427e94f705bf7dd002a9		2024-12-08 21:24:18.050855	2024-12-08 21:23:24.363358	{"op":"/onesis/kt4/data/rf_workflow/process_data/distance_road.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/road/road.shp","height":"69"}	t	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=aa2184ae372a427e94f705bf7dd002a9, listenThread=thread6}\n        managedFields: null\n        name: aa2184ae372a427e94f705bf7dd002a9\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=aa2184ae372a427e94f705bf7dd002a9}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-sfp, /data/onesis/kt4/data/rf_workflow/origin_data/road/road.shp, -width, 94, -height, 69, -op, /data/onesis/kt4/data/rf_workflow/process_data/distance_road.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/distance_analysis:1.0-scipy\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: aa2184ae372a427e94f705bf7dd002a9\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	a12bb857-2e6e-3c1b-b998-2464a04038a5	欧氏距离分析(道路)-212322	输入文件: /onesis/kt4/data/rf_workflow/origin_data/road/road.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/distance_road.tif; 	\N	7	\N
47cd437054864547b73ee4ed0568214a		2024-12-06 19:20:43.027854	2024-12-06 19:20:39.182971	{"epsg":"0","file":"/onesis/kt4/job_results/air-02-1206.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/osr.py:410: FutureWarning: Neither osr.UseExceptions() nor osr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nPRJ file for air-02-1206.csv created with EPSG:4326\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:138117e763fa424c83dcb45af8ead1da	数据路径: /onesis/kt4/job_results/air-02-1206.csv; EPSG号: 0; 	\N	6	\N
83fcd980a0b646beb10cff8dff64e4d1		2024-12-08 21:25:30.044847	2024-12-08 21:24:36.433727	{"op":"/onesis/kt4/data/rf_workflow/process_data/distance_road.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/road/road.shp","height":"69"}	t	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=83fcd980a0b646beb10cff8dff64e4d1, listenThread=thread5}\n        managedFields: null\n        name: 83fcd980a0b646beb10cff8dff64e4d1\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=83fcd980a0b646beb10cff8dff64e4d1}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-sfp, /data/onesis/kt4/data/rf_workflow/origin_data/road/road.shp, -width, 94, -height, 69, -op, /data/onesis/kt4/data/rf_workflow/process_data/distance_road.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/distance_analysis:1.0-scipy\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: 83fcd980a0b646beb10cff8dff64e4d1\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	a12bb857-2e6e-3c1b-b998-2464a04038a5	欧氏距离分析(道路)-212435	输入文件: /onesis/kt4/data/rf_workflow/origin_data/road/road.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/distance_road.tif; 	\N	7	\N
ec9858a78cdd4950b32410343c8ed874		2024-12-08 21:22:46.528161	2024-12-08 21:21:50.65902	{"op":"/onesis/kt4/data/rf_workflow/process_data/op1865748622600175616.tif","width":"94","sfp":"/onesis/kt4/data/rf_workflow/origin_data/road/road.shp","height":"69"}	f	Pod Status: Running\nPodReadyToStartContainers: True\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nclass V1Job {\n    apiVersion: null\n    kind: Job\n    metadata: class V1ObjectMeta {\n        annotations: null\n        clusterName: null\n        creationTimestamp: null\n        deletionGracePeriodSeconds: null\n        deletionTimestamp: null\n        finalizers: null\n        generateName: null\n        generation: null\n        labels: {security=c4a0dfc4ae114ba4a083d7f81352ce5c, listenThread=thread10}\n        managedFields: null\n        name: c4a0dfc4ae114ba4a083d7f81352ce5c\n        namespace: modelengine\n        ownerReferences: null\n        resourceVersion: null\n        selfLink: null\n        uid: null\n    }\n    spec: class V1JobSpec {\n        activeDeadlineSeconds: null\n        backoffLimit: 0\n        completionMode: null\n        completions: null\n        manualSelector: null\n        parallelism: null\n        selector: null\n        suspend: null\n        template: class V1PodTemplateSpec {\n            metadata: class V1ObjectMeta {\n                annotations: null\n                clusterName: null\n                creationTimestamp: null\n                deletionGracePeriodSeconds: null\n                deletionTimestamp: null\n                finalizers: null\n                generateName: null\n                generation: null\n                labels: {security=c4a0dfc4ae114ba4a083d7f81352ce5c}\n                managedFields: null\n                name: null\n                namespace: null\n                ownerReferences: null\n                resourceVersion: null\n                selfLink: null\n                uid: null\n            }\n            spec: class V1PodSpec {\n                activeDeadlineSeconds: 43200\n                affinity: null\n                automountServiceAccountToken: null\n                containers: [class V1Container {\n                    args: [-np, 1, d8flowdir, -fel, /data/onesis/kt4/data/rf_workflow/origin_data/dem/dem.tif, -sd8, /data/onesis/kt4/data/rf_workflow/process_data/sd81865748623250292736.tif]\n                    command: null\n                    env: null\n                    envFrom: null\n                    image: registry.cn-hangzhou.aliyuncs.com/onesis-geomodels/taudem_ext:5.3.9\n                    imagePullPolicy: IfNotPresent\n                    lifecycle: null\n                    livenessProbe: null\n                    name: c4a0dfc4ae114ba4a083d7f81352ce5c\n                    ports: null\n                    readinessProbe: null\n                    resources: null\n                    securityContext: null\n                    startupProbe: null\n                    stdin: null\n                    stdinOnce: null\n                    terminationMessagePath: null\n                    terminationMessagePolicy: null\n                    tty: null\n                    volumeDevices: null\n                    volumeMounts: [class V1VolumeMount {\n                        mountPath: /data\n                        mountPropagation: null\n                        name: pvc-oss-runmodel\n                        readOnly: null\n                        subPath: null\n                        subPathExpr: null\n                    }]\n                    workingDir: null\n                }]\n                dnsConfig: null\n                dnsPolicy: null\n                enableServiceLinks: null\n                ephemeralContainers: null\n                hostAliases: null\n                hostIPC: null\n                hostNetwork: null\n                hostPID: null\n                hostname: null\n                imagePullSecrets: null\n                initContainers: null\n                nodeName: null\n                nodeSelector: null\n                os: null\n                overhead: null\n                preemptionPolicy: null\n                priority: null\n                priorityClassName: null\n                readinessGates: null\n                restartPolicy: Never\n                runtimeClassName: null\n                schedulerName: null\n                securityContext: null\n                serviceAccount: null\n                serviceAccountName: null\n                setHostnameAsFQDN: null\n                shareProcessNamespace: null\n                subdomain: null\n                terminationGracePeriodSeconds: null\n                tolerations: null\n                topologySpreadConstraints: null\n                volumes: [class V1Volume {\n                    awsElasticBlockStore: null\n                    azureDisk: null\n                    azureFile: null\n                    cephfs: null\n                    cinder: null\n                    configMap: null\n                    csi: null\n                    downwardAPI: null\n                    emptyDir: null\n                    ephemeral: null\n                    fc: null\n                    flexVolume: null\n                    flocker: null\n                    gcePersistentDisk: null\n                    gitRepo: null\n                    glusterfs: null\n                    hostPath: null\n                    iscsi: null\n                    name: pvc-oss-runmodel\n                    nfs: null\n                    persistentVolumeClaim: class V1PersistentVolumeClaimVolumeSource {\n                        claimName: modelengine-pvc\n                        readOnly: null\n                    }\n                    photonPersistentDisk: null\n                    portworxVolume: null\n                    projected: null\n                    quobyte: null\n                    rbd: null\n                    scaleIO: null\n                    secret: null\n                    storageos: null\n                    vsphereVolume: null\n                }]\n            }\n        }\n        ttlSecondsAfterFinished: 50\n    }\n    status: null\n}	a12bb857-2e6e-3c1b-b998-2464a04038a5	欧氏距离分析(道路)	输入文件: /onesis/kt4/data/rf_workflow/origin_data/road/road.shp; 图像宽度: 94; 图像高度: 69; 输出文件: /onesis/kt4/data/rf_workflow/process_data/op1865748622600175616.tif; 	\N	7	74ce2c17-430f-4ecf-9ad9-ced80ea0499c
b8e35df852864e3a871e22347fe37e7a		2024-12-06 19:29:04.492071	2024-12-06 19:29:00.833798	{"epsg":"0","file":"/onesis/kt4/job_results/air-03-1206.csv"}	f	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n/usr/lib/python3.12/site-packages/osgeo/osr.py:410: FutureWarning: Neither osr.UseExceptions() nor osr.DontUseExceptions() has been explicitly called. In GDAL 4.0, exceptions will be enabled by default.\n  warnings.warn(\nPRJ file for air-03-1206.csv created with EPSG:4326\nProject done.\n	84641a52-bd00-3734-9c49-597a3f5d2e73	reproject:10380c74c47c4fb78e2c2d7326231ba7	数据路径: /onesis/kt4/job_results/air-03-1206.csv; EPSG号: 0; 	\N	6	\N
b5ae9233cc614f8ca60d775705e3ec21		2024-12-05 17:31:44.860622	2024-12-05 17:31:40.518427	{"zfactor":"1","i":"/onesis/kt4/test_data/terr/filledDEM.tif","o":"/onesis/kt4/test_data/terr/result/slope_dir.tif"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\n****************************\n* Welcome to Aspect        *\n* Powered by WhiteboxTools *\n* www.whiteboxgeo.com      *\n****************************\nReading data...\nPerforming analysis: 0%\nPerforming analysis: 1%\nPerforming analysis: 2%\nPerforming analysis: 3%\nPerforming analysis: 4%\nPerforming analysis: 5%\nPerforming analysis: 6%\nPerforming analysis: 7%\nPerforming analysis: 8%\nPerforming analysis: 9%\nPerforming analysis: 10%\nPerforming analysis: 11%\nPerforming analysis: 12%\nPerforming analysis: 13%\nPerforming analysis: 14%\nPerforming analysis: 15%\nPerforming analysis: 16%\nPerforming analysis: 17%\nPerforming analysis: 18%\nPerforming analysis: 19%\nPerforming analysis: 20%\nPerforming analysis: 21%\nPerforming analysis: 22%\nPerforming analysis: 23%\nPerforming analysis: 24%\nPerforming analysis: 25%\nPerforming analysis: 26%\nPerforming analysis: 27%\nPerforming analysis: 28%\nPerforming analysis: 29%\nPerforming analysis: 30%\nPerforming analysis: 31%\nPerforming analysis: 32%\nPerforming analysis: 33%\nPerforming analysis: 34%\nPerforming analysis: 35%\nPerforming analysis: 36%\nPerforming analysis: 37%\nPerforming analysis: 38%\nPerforming analysis: 39%\nPerforming analysis: 40%\nPerforming analysis: 41%\nPerforming analysis: 42%\nPerforming analysis: 43%\nPerforming analysis: 44%\nPerforming analysis: 45%\nPerforming analysis: 46%\nPerforming analysis: 47%\nPerforming analysis: 48%\nPerforming analysis: 49%\nPerforming analysis: 50%\nPerforming analysis: 51%\nPerforming analysis: 52%\nPerforming analysis: 53%\nPerforming analysis: 54%\nPerforming analysis: 55%\nPerforming analysis: 56%\nPerforming analysis: 57%\nPerforming analysis: 58%\nPerforming analysis: 59%\nPerforming analysis: 60%\nPerforming analysis: 61%\nPerforming analysis: 62%\nPerforming analysis: 63%\nPerforming analysis: 64%\nPerforming analysis: 65%\nPerforming analysis: 66%\nPerforming analysis: 67%\nPerforming analysis: 68%\nPerforming analysis: 69%\nPerforming analysis: 70%\nPerforming analysis: 71%\nPerforming analysis: 72%\nPerforming analysis: 73%\nPerforming analysis: 74%\nPerforming analysis: 75%\nPerforming analysis: 76%\nPerforming analysis: 77%\nPerforming analysis: 78%\nPerforming analysis: 79%\nPerforming analysis: 80%\nPerforming analysis: 81%\nPerforming analysis: 82%\nPerforming analysis: 83%\nPerforming analysis: 84%\nPerforming analysis: 85%\nPerforming analysis: 86%\nPerforming analysis: 87%\nPerforming analysis: 88%\nPerforming analysis: 89%\nPerforming analysis: 90%\nPerforming analysis: 91%\nPerforming analysis: 92%\nPerforming analysis: 93%\nPerforming analysis: 94%\nPerforming analysis: 95%\nPerforming analysis: 96%\nPerforming analysis: 97%\nPerforming analysis: 98%\nPerforming analysis: 99%\nPerforming analysis: 100%\nSaving data...\nOutput file written\nElapsed Time (excluding I/O): 0.39s\n	b69e1bf4-06cf-3d70-be83-81a23ad61ab1	坡向（三阶二元泰勒多项式）-173135	输入数据: /onesis/kt4/test_data/terr/filledDEM.tif; 输出数据: /onesis/kt4/test_data/terr/result/slope_dir.tif; z因子: 1; 	\N	6	\N
1b2ecd737be4499cb891af2f29edfbbe		2024-12-06 19:18:06.384712	2024-12-06 19:17:38.219129	{"train_data_folder":"/onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/","geo_coord":"x,y","variable":"u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2","air_quality":"PM2.5","best_arg":"/onesis/kt4/job_results/air-1205.json"}	t	Pod Status: Succeeded\nPodReadyToStartContainers: False\nInitialized: True\nReady: False\nContainersReady: False\nPodScheduled: True\nargs.variable: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2\nFinal variables: ['u10', 'v10', 't2m', 'sp', 'tp', 'AQI', 'PM10', 'NO2', 'CO', 'O3', 'SO2']\nargs.geo_coord: x,y\nFinal geo_coord: ['x', 'y']\nchina_sites_2017010311.csv\nchina_sites_2017010416.csv\nchina_sites_2017010415.csv\nchina_sites_2017010418.csv\nchina_sites_2017010316.csv\nchina_sites_2017010413.csv\nchina_sites_2017010420.csv\nchina_sites_2017010421.csv\nchina_sites_2017010320.csv\nchina_sites_2017010315.csv\nchina_sites_2017010310.csv\nchina_sites_2017010319.csv\nchina_sites_2017010312.csv\nchina_sites_2017010313.csv\nchina_sites_2017010417.csv\nchina_sites_2017010414.csv\nchina_sites_2017010411.csv\nchina_sites_2017010314.csv\nchina_sites_2017010419.csv\nchina_sites_2017010412.csv\nchina_sites_2017010317.csv\nchina_sites_2017010321.csv\nchina_sites_2017010318.csv\nchina_sites_2017010410.csv\n            x        y\n0    117.4570  38.8394\n1    114.3541  37.9097\n2    118.1997  39.6295\n3    119.5259  39.8283\n4    119.7624  40.0181\n..        ...      ...\n231   86.0697  44.3075\n232   87.5475  44.1756\n233  101.7227  26.5670\n234  118.0936  24.5058\n235  113.1569  36.1912\n\n[236 rows x 2 columns]\ntrain_data:           u10       v10         t2m  ...       PM2.5         x        y\n0   -1.640743 -0.860563  273.150461  ...  203.458333  117.4570  38.8394\n1    0.790372 -0.217611  271.790785  ...   86.875000  114.3541  37.9097\n2   -0.990183 -0.839658  269.928228  ...  282.583333  118.1997  39.6295\n3   -1.980586 -2.696221  274.631896  ...  146.250000  119.5259  39.8283\n4   -0.705750 -2.260111  271.373622  ...  130.833333  119.7624  40.0181\n..        ...       ...         ...  ...         ...       ...      ...\n231  0.648333 -0.588518  260.514139  ...  178.041667   86.0697  44.3075\n232  0.748970 -1.401752  256.965202  ...  190.125000   87.5475  44.1756\n233 -0.965013  0.604648  283.207503  ...   41.958333  101.7227  26.5670\n234 -1.055777 -1.273097  289.279029  ...   58.291667  118.0936  24.5058\n235 -1.215249  0.367138  272.866162  ...  186.625000  113.1569  36.1912\n\n[236 rows x 14 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\n        u10       v10         t2m  ...         O3        SO2       PM2.5\n0 -1.640743 -0.860563  273.150461  ...   6.833333  20.125000  203.458333\n1  0.790372 -0.217611  271.790785  ...  98.500000  57.125000   86.875000\n2 -0.990183 -0.839658  269.928228  ...  10.250000  48.250000  282.583333\n3 -1.980586 -2.696221  274.631896  ...  31.583333  57.333333  146.250000\n4 -0.705750 -2.260111  271.373622  ...  19.083333  64.291667  130.833333\n\n[5 rows x 12 columns]\nbest_threshold: 0.475\nbest_r2: 0.11221544152212798\n	87892310-b9ea-3b28-8fce-b7c6c3c9ec3a	相关性分析与特征选择-191737	空气质量自变量: u10,v10,t2m,sp,tp,AQI,PM10,NO2,CO,O3,SO2; 待预测的空气质量指标: PM2.5; 气象站点地理坐标: x,y; 历史空气质量数据文件夹: /onesis/kt4/test_data/basic/air_quatity_prediction_work_flow/mode1_argument_select/data/; 最优自变量和权重结果: /onesis/kt4/job_results/air-1205.json; 	\N	6	\N
