*********************************************************************** * Package GWmodel * *********************************************************************** Program starts at: 2024-09-19 15:09:40 Call: gwr.basic(formula = gwrformula, data = spdata, bw = bw, kernel = kernel, adaptive = adaptive, dMat = dmat, parallel.method = "omp", parallel.arg = parallelarg) Dependent (y) variable: count Independent variables: x1 x2 x3 Number of data points: 1403 *********************************************************************** * Results of Global Regression * *********************************************************************** Call: lm(formula = formula, data = data) Residuals: Min 1Q Median 3Q Max -1.2509 -0.6300 -0.1517 0.4737 3.3449 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 1.318004 0.066907 19.699 <2e-16 *** x1 0.878314 0.020358 43.143 <2e-16 *** x2 -0.001282 0.038446 -0.033 0.973 x3 0.019765 0.067283 0.294 0.769 ---Significance stars Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 0.7708 on 1399 degrees of freedom Multiple R-squared: 0.5713 Adjusted R-squared: 0.5704 F-statistic: 621.5 on 3 and 1399 DF, p-value: < 2.2e-16 ***Extra Diagnostic information Residual sum of squares: 831.1818 Sigma(hat): 0.7702451 AIC: 3257.044 AICc: 3257.087 BIC: 1916.507 *********************************************************************** * Results of Geographically Weighted Regression * *********************************************************************** *********************Model calibration information********************* Kernel function: gaussian Adaptive bandwidth: 814 (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 GWR coefficient estimates:****************** Min. 1st Qu. Median 3rd Qu. Max. Intercept 1.2815461 1.3049096 1.3213572 1.3409719 1.3688 x1 0.8725482 0.8764310 0.8782092 0.8802916 0.8836 x2 -0.0268981 -0.0151095 -0.0077187 -0.0012217 0.0130 x3 -0.0269084 -0.0010161 0.0158927 0.0288172 0.0545 ************************Diagnostic information************************* Number of data points: 1403 Effective number of parameters (2trace(S) - trace(S'S)): 8.469516 Effective degrees of freedom (n-2trace(S) + trace(S'S)): 1394.53 AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 3255.291 AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 3246.778 BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 1883.899 Residual sum of squares: 827.2288 R-square value: 0.5733714 Adjusted R-square value: 0.5707785 *********************************************************************** Program stops at: 2024-09-19 15:09:42