基于时空窗口改进的时空加权回归分析——以湖北省黄石市住房价格为例

王新刚, 孔云峰

An Improved Spatiotemporally Weighted Regression Analysis Based on Spatiotemporal Windows: A Case Study of Housing Price of Huangshi City, Hubei Province

Xin-gang WANG, Yun-feng KONG

表2 GTWR和IGTWR回归系数的估计结果

Table 2 The estimation results of GTWR and IGTWR regression parameters

变量 GTWR 模型 IGTWR 模型(r=0.5 km,t=1 a) 最小值 中值 最大值 均值 t检验 P值 最小值 中值 最大值 均值 t检验 P值 CL -2867.193 165.244 2231.183 276.852 4.232 0.000 -417.322 99.966 823.353 145.245 5.346 0.000 GR -181.562 5.302 477.492 11.833 3.223 0.000 -36.433 10.975 129.874 10.316 3.053 0.000 FL -96.943 33.891 95.763 32.091 2.456 0.000 -59.315 26.434 68.336 21.036 3.086 0.000 PR -400.376 73.003 1811.225 175.270 3.125 0.000 -394.116 125.052 1822.655 168.225 4.235 0.000 ND -3121.423 -135.422 1419.204 -303.752 2.174 0.030 -760.367 -76.726 289.257 -104.683 -2.922 0.020 S1T1W - - - - - - -859.132 -18.015 738.148 -26.712 3.253 0.010 S1T2W - - - - - - -1298.575 49.756 1568.713 152.156 2.634 0.020 S1T3W - - - - - - -1088.636 345.266 1268.425 410.037 3.278 0.000 S1T4W - - - - - - -792.299 746.387 1229.202 561.235 4.166 0.030 S1T5W - - - - - - -1274.415 -494.655 1523.185 -201.415 2.895 0.000 S2T1W - - - - - - -437.276 -294.443 355.759 -381.826 2.363 0.020 S2T2W - - - - - - -745.934 -343.354 1026.043 -238.003 3.162 0.030 模型检验 R2=0.877,AICc=6 226,F=3.046, P=0.000 R2=0.919,AICc=6206,F=4.104, P=0.000 RSS=49 996 201, MSE=354.427 RSS=32 327 472, MSE=284.969