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   *                       Package   GWmodel                             *
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   Program starts at: 2024-12-03 14:15:48 
   Call:
   gwr.multiscale(formula = mgwrformula, data = spdata, kernel = kernel, 
    adaptive = adaptive, parallel.method = parallelmethod, parallel.arg = parallelarg)

   Dependent (y) variable:  Avg_HP_
   Independent variables:  nrst_ds Avg_Gr_ Av_GDP_
   Number of data points: 973
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   *                       Multiscale (PSDM) GWR                          *
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   *********************Model calibration information*********************
   Kernel function: gaussian 
   Adaptive bandwidths for each coefficient(number of nearest neighbours): 
              (Intercept) nrst_ds Avg_Gr_ Av_GDP_
   Bandwidth            8       8      63      10

   *************Summary of multiscale GWR coefficient estimates:***************
                     Min.      1st Qu.       Median      3rd Qu.       Max.
   Intercept  9177.549485 13535.313994 15142.477356 16548.384942 22736.2527
   nrst_ds      -3.357920    -0.774235    -0.468828    -0.048999     1.5050
   Avg_Gr_   -1537.439768    58.255788   696.911326  1154.829153  2822.1162
   Av_GDP_      -1.074809    -0.143440     0.029361     0.192832     1.6643
   ************************Diagnostic information*************************
   Number of data points: 973 
   Effective number of parameters (2trace(S) - trace(S'S)): 204.9156 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 768.0844 
   AICc value:  16359.65 
   AIC value:  16155.4 
   BIC value:  16052.46 
   Residual sum of squares:  795233782 
   R-square value:  0.9106027 
   Adjusted R-square value:  0.8867215 

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   Program stops at: 2024-12-03 19:07:35