================================================================================ MGWR Version: 2.2.1 Released on: 03/20/2020 Source code is available at: https://github.com/pysal/mgwr Development Team: Ziqi Li, Taylor Oshan, Stewart Fotheringham, Wei Kang, Levi Wolf, Hanchen Yu, Mehak Sachdeva, and Sarah Bardin Spatial Analysis Research Center (SPARC) Arizona State University, Tempe, USA ================================================================================ Model type: Gaussian Number of observations: 2221 Number of covariates: 15 Dependent variable: yejianreli Variable standardization: On Total runtime: 0:22:27 Global Regression Results -------------------------------------------------------------------------------- Residual sum of squares: 1027.393 Log-likelihood: -2295.341 AIC: 4620.682 AICc: 4622.929 R2: 0.537 Adj. R2: 0.534 Variable Est. SE t(Est/SE) p-value ------------------------------------ ---------- ---------- ---------- ---------- zhuzhaiPOI 0.111 0.020 5.527 0.000 shdi 0.341 0.020 16.885 0.000 jingjiPOI -0.029 0.026 -1.127 0.260 shenghuoPOI 0.166 0.028 5.843 0.000 jianzhufugai 0.068 0.025 2.681 0.007 rongjilv 0.103 0.035 2.966 0.003 jiejindu 0.051 0.019 2.673 0.008 chuanxingdu 0.085 0.021 4.134 0.000 chengshi -0.024 0.017 -1.424 0.155 shangye 0.057 0.018 3.195 0.001 qinshuizhishu -0.011 0.015 -0.730 0.465 zhibeifugaidu 0.020 0.015 1.325 0.185 id2jianzhu -0.006 0.024 -0.250 0.802 id3tiankong 0.040 0.019 2.090 0.037 id12renxingdao 0.068 0.021 3.223 0.001 Multiscale Geographically Weighted Regression (MGWR) Results -------------------------------------------------------------------------------- Coordinates type: Projected Spatial kernel: Adaptive bisquare Criterion for optimal bandwidth: AICc Score of change (SOC) type: Smoothing f Termination criterion for MGWR: 1.0e-05 Number of iterations used: 34 MGWR bandwidths -------------------------------------------------------------------------------- Variable Bandwidth ENP_j Adj t-val(95%) DoD_j zhuzhaiPOI 256.000 14.907 2.936 0.649 shdi 239.000 22.318 3.060 0.597 jingjiPOI 1632.000 1.572 2.148 0.941 shenghuoPOI 724.000 4.128 2.511 0.816 jianzhufugai 237.000 20.027 3.027 0.611 rongjilv 1170.000 1.933 2.230 0.914 jiejindu 921.000 3.457 2.447 0.839 chuanxingdu 2220.000 1.444 2.114 0.952 chengshi 1585.000 2.913 2.385 0.861 shangye 2220.000 1.492 2.127 0.948 qinshuizhishu 1100.000 3.705 2.472 0.830 zhibeifugaidu 448.000 12.692 2.886 0.670 id2jianzhu 1212.000 2.970 2.392 0.859 id3tiankong 1192.000 4.066 2.506 0.818 id12renxingdao 2220.000 1.314 2.076 0.965 Diagnostic Information -------------------------------------------------------------------------------- Residual sum of squares: 883.052 Effective number of parameters (trace(S)): 98.938 Degree of freedom (n - trace(S)): 2122.062 Sigma estimate: 0.645 Log-likelihood: -2127.216 Degree of Dependency (DoD): 0.755 AIC: 4454.309 AICc: 4463.825 BIC: 5024.526 R2: 0.602 Adj. R2: 0.584 Summary Statistics For MGWR Parameter Estimates -------------------------------------------------------------------------------- Variable Mean STD Min Median Max -------------------- ---------- ---------- ---------- ---------- ---------- zhuzhaiPOI 0.145 0.173 -0.200 0.123 0.645 shdi 0.322 0.096 0.100 0.315 0.596 jingjiPOI -0.009 0.018 -0.029 -0.014 0.042 shenghuoPOI 0.145 0.075 0.005 0.153 0.256 jianzhufugai 0.070 0.126 -0.168 0.053 0.353 rongjilv 0.156 0.045 0.084 0.143 0.248 jiejindu 0.030 0.048 -0.046 0.024 0.128 chuanxingdu 0.089 0.003 0.082 0.089 0.097 chengshi -0.016 0.032 -0.059 -0.024 0.039 shangye 0.032 0.003 0.028 0.031 0.038 qinshuizhishu -0.030 0.026 -0.094 -0.027 0.031 zhibeifugaidu 0.016 0.059 -0.109 0.013 0.137 id2jianzhu 0.023 0.040 -0.066 0.036 0.077 id3tiankong 0.029 0.042 -0.026 0.019 0.113 id12renxingdao 0.039 0.002 0.036 0.039 0.043 ================================================================================ Acknowledgement: We acknowledge the support of the National Science Foundation under Award 1758786 from the Geography and Spatial Sciences Program to A. S. Fotheringham which enabled this software to be written and made freely available. ================================================================================