基于GWR模型的都市城郊村域农户生计资本空间差异分析——以上海市青浦区为例
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任国平, 刘黎明, 付永虎, 袁承程
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Spatial differentiation of rural household livelihood capital in metropolitan suburbs based on GWR model:A case study of Qingpu District in Shanghai
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REN Guoping,LIU Liming,FU Yonghu,YUAN Chengcheng
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表5 地理加权回归模型估计结果 |
Table 5 The estimation results of GWR model |
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自变量 | 回归系数 | t值 | 最小值 | 下四分位数 | 中值 | 上四分位数 | 最大值 | Sigma | PGDP | 0.435*** | 4.221 | 0.158 | 0.261 | 0.494 | 0.588 | 0.629 | 0.704 | FL | -0.185 | -0.522 | -0.391 | -0.317 | -0.229 | -0.124 | -0.104 | 0.045 | ID | 0.913** | 0.577 | -1.569 | -0.927 | 0.511 | 2.721 | 5.592 | 0.001 | PE | 0.275* | 0.158 | 0.204 | 0.285 | 0.336 | 0.421 | 0.584 | 0.857 | URB | 0.321** | 5.247 | 2.386 | 3.102 | 3.399 | 4.001 | 4.316 | 0.001 | PR | 0.187 | 3.232 | 0.121 | 0.253 | 0.312 | 0.497 | 0.586 | 0.511 | DT | 0.564*** | 2.512 | 0.531 | 0.598 | 0.724 | 0.857 | 0.921 | 0.311 | PD | -0.152 | -0.394 | -1.311 | -1.148 | -0.901 | 0.583 | 1.317 | 0.005 | 常数项(CONSTANT) | 0.138 | 39.586 | -0.579 | -0.357 | -0.115 | 0.298 | 0.414 | 0.000 |
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