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   *                       Package   GWmodel                             *
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   Program starts at: 2024-11-01 14:18:41 
   Call:
   gtwr(formula = gtwrformula, data = spdata, obs.tv = timestamps, 
    st.bw = bw, kernel = kernel, adaptive = adaptive, lamda = lambda)

   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
   ***********************************************************************
   *    Results of Geographically and Temporally Weighted Regression     *
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   *********************Model calibration information*********************
   Kernel function for geographically and temporally weighting: gaussian 
   Adaptive bandwidth for geographically and temporally  weighting: 20 (number of nearest neighbours)
   Regression points: the same locations as observations are used.
   Distance metric for geographically and temporally  weighting: A distance matrix is specified for this model calibration.

   ****************Summary of GTWR coefficient estimates:*****************
                   Min.    1st Qu.     Median    3rd Qu.     Max.
   Intercept -12.415521  62.955257  85.445869 111.736263 179.0244
   x1         -0.445130  -0.149599  -0.019529   0.136277   0.6521
   x2         -1.890831  -0.067626   0.155322   0.411299   1.6985
   x3         -0.420853  -0.050429   0.035595   0.116413   0.2980
   ************************Diagnostic information*************************
   Number of data points: 1000 
   Effective number of parameters (2trace(S) - trace(S'S)): 167.8893 
   Effective degrees of freedom (n-2trace(S) + trace(S'S)): 832.1107 
   AICc (GWR book, Fotheringham, et al. 2002, p. 61, eq 2.33): 9339.778 
   AIC (GWR book, Fotheringham, et al. 2002,GWR p. 96, eq. 4.22): 9181.362 
   Residual sum of squares: 503577.6 
   R-square value:  0.555093 
   Adjusted R-square value:  0.4652191 

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   Program stops at: 2024-11-01 14:20:19