*********************************************************************** * Package GWmodel * *********************************************************************** Program starts at: 2024-12-09 09:44:51 Call: gwr.basic(formula = gwrformula, data = spdata, bw = bw, kernel = kernel, adaptive = adaptive, parallel.method = "omp") Dependent (y) variable: Avg_HP_ Independent variables: nrst_ds Avg_Gr_ Av_GDP_ Number of data points: 973 *********************************************************************** * Results of Global Regression * *********************************************************************** Call: lm(formula = formula, data = data) Residuals: Min 1Q Median 3Q Max -7060.0 -1462.6 -49.1 1402.0 8474.4 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.527e+04 1.610e+02 94.793 < 2e-16 *** nrst_ds -1.025e+00 4.449e-02 -23.036 < 2e-16 *** Avg_Gr_ 2.898e+03 6.784e+02 4.272 2.12e-05 *** Av_GDP_ 2.672e-01 7.199e-02 3.711 0.000218 *** ---Significance stars Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 2375 on 969 degrees of freedom Multiple R-squared: 0.3857 Adjusted R-squared: 0.3838 F-statistic: 202.8 on 3 and 969 DF, p-value: < 2.2e-16 ***Extra Diagnostic information Residual sum of squares: 5464608038 Sigma(hat): 2372.302 AIC: 17892.82 AICc: 17892.88 BIC: 16978.62 *********************************************************************** * Results of Geographically Weighted Regression * *********************************************************************** *********************Model calibration information********************* Kernel function: gaussian Adaptive bandwidth: 20 (number of nearest neighbours) Regression points: the same locations as observations are used. Distance metric: Euclidean distance metric is used. ****************Summary of GWR coefficient estimates:****************** Min. 1st Qu. Median 3rd Qu. Max. Intercept 1.0674e+04 1.3557e+04 1.5206e+04 1.6345e+04 21833.2078 nrst_ds -3.0572e+00 -8.8351e-01 -4.6088e-01 4.2278e-03 1.4104 Avg_Gr_ -3.2202e+03 3.1662e+02 1.8977e+03 3.5756e+03 10513.6440 Av_GDP_ -2.2696e+00 -2.3138e-01 4.0109e-02 2.7502e-01 1.3326 ************************Diagnostic information************************* Number of data points: 973 Effective number of parameters (2trace(S) - trace(S'S)): 121.6069 Effective degrees of freedom (n-2trace(S) + trace(S'S)): 851.3931 AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 16846.29 AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 16739.18 BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 16279.37 Residual sum of squares: 1542237099 R-square value: 0.8266273 Adjusted R-square value: 0.8018349 *********************************************************************** Program stops at: 2024-12-09 09:44:52