*********************************************************************** * Package GWmodel * *********************************************************************** Program starts at: 2024-11-01 11:37:53 Call: ggwr.basic(formula = gwrformula, data = spdata, bw = bw, family = "binomial", kernel = kernel, adaptive = adaptive, dMat = DM) Dependent (y) variable: bldpww1 Independent variables: floorsz unemploy prof Number of data points: 316 Used family: binomial *********************************************************************** * Results of Generalized linear Regression * *********************************************************************** Call: NULL Deviance Residuals: Min 1Q Median 3Q Max -13.090 -1.436 -1.181 1.440 11.778 Coefficients: Estimate Std. Error z value Pr(>|z|) Intercept -6.5772834 1.0059901 -6.538 6.23e-11 *** floorsz 0.0000896 0.0036024 0.025 0.98 unemploy 51.4277621 7.4031418 6.947 3.74e-12 *** prof 7.6922822 1.4857931 5.177 2.25e-07 *** --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1 (Dispersion parameter for binomial family taken to be 1) Null deviance: 412.08 on 315 degrees of freedom Residual deviance: 347.06 on 312 degrees of freedom AIC: 355.06 Number of Fisher Scoring iterations: 3 AICc: 355.1893 Pseudo R-square value: 0.1577789 *********************************************************************** * Results of Geographically Weighted Regression * *********************************************************************** *********************Model calibration information********************* Kernel function: gaussian Adaptive bandwidth: 91 (number of nearest neighbours) Regression points: the same locations as observations are used. Distance metric: A distance matrix is specified for this model calibration. ************Summary of Generalized GWR coefficient estimates:********** Min. 1st Qu. Median 3rd Qu. Max. Intercept -1.0437e+01 -9.0635e+00 -7.5482e+00 -5.1313e+00 -3.8491 floorsz -4.3923e-03 -1.2144e-03 1.7841e-04 1.4831e-03 0.0028 unemploy 3.4377e+01 4.2122e+01 5.8564e+01 7.0169e+01 78.4373 prof 4.1426e+00 5.6475e+00 8.5009e+00 1.0680e+01 12.7883 ************************Diagnostic information************************* Number of data points: 316 GW Deviance: 328.3097 AIC : 345.4417 AICc : 345.9766 Pseudo R-square value: 0.2032822 *********************************************************************** Program stops at: 2024-11-01 11:38:04