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   *                       Package   GWmodel                             *
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   Program starts at: 2024-12-26 12:34:43 
   Call:
   gwr.basic(formula = gwrformula, data = spdata, bw = bw, kernel = kernel, 
    adaptive = adaptive, parallel.method = parallelmethod, parallel.arg = parallelarg)

   Dependent (y) variable:  y
   Independent variables:  x1 x2 x3
   Number of data points: 1000
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   *                    Results of Global Regression                     *
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   Call:
    lm(formula = formula, data = data)

   Residuals:
    Min      1Q  Median      3Q     Max 
-64.953 -19.870  -4.534  16.505 106.729 

   Coefficients:
               Estimate Std. Error t value Pr(>|t|)    
   (Intercept)  3.27255    4.00700   0.817   0.4143    
   x1           0.57261    0.04546  12.595   <2e-16 ***
   x2           0.09612    0.05371   1.790   0.0738 .  
   x3           0.43744    0.04121  10.614   <2e-16 ***

   ---Significance stars
   Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
   Residual standard error: 27.87 on 996 degrees of freedom
   Multiple R-squared: 0.3167
   Adjusted R-squared: 0.3146 
   F-statistic: 153.9 on 3 and 996 DF,  p-value: < 2.2e-16 
   ***Extra Diagnostic information
   Residual sum of squares: 773432.1
   Sigma(hat): 27.8385
   AIC:  9498.715
   AICc:  9498.775
   BIC:  8557.793
   ***********************************************************************
   *          Results of Geographically Weighted Regression              *
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   *********************Model calibration information*********************
   Kernel function: gaussian 
   Adaptive bandwidth: 50 (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 -47.6160620 -14.0632331   6.4742169  21.2317863 47.9944
   x1          0.1429964   0.4887523   0.5936658   0.7367083  1.0850
   x2         -0.1490286  -0.0092992   0.0984606   0.1830593  0.5032
   x3         -0.5315063   0.2869510   0.4877966   0.6282908  1.0234
   ************************Diagnostic information*************************
   Number of data points: 1000 
   Effective number of parameters (2trace(S) - trace(S'S)): 63.45489 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 936.5451 
   AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 9291.555 
   AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 9239.113 
   BIC (GWR book, Fotheringham, et al. 2002,GWR p. 61, eq. 2.34): 8509.413 
   Residual sum of squares: 575639.9 
   R-square value:  0.4914265 
   Adjusted R-square value:  0.4569317 

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   Program stops at: 2024-12-26 12:37:08