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   *                       Package   GWmodel                             *
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   Program starts at: 2024-11-13 03:31:08 
   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
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   *                    Results of Global Regression                     *
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   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: 20 (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  0.279234  1.182113  1.350058  1.566865 2.4096
   x1         0.400944  0.790318  0.854378  0.885911 1.0033
   x2        -0.434210 -0.118251 -0.025112  0.083764 0.5270
   x3        -1.066212 -0.106584  0.025096  0.134303 0.6578
   ************************Diagnostic information*************************
   Number of data points: 1403 
   Effective number of parameters (2trace(S) - trace(S'S)): 162.041 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 1240.959 
   AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 3222.205 
   AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 3089.349 
   BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 2380.77 
   Residual sum of squares: 686.2289 
   R-square value:  0.6460896 
   Adjusted R-square value:  0.5998397 

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   Program stops at: 2024-11-13 03:31:09