PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (11): 1726-1734.doi: 10.18306/dlkxjz.2019.11.008
• Articles • Previous Articles Next Articles
LI Xueming1,2, LIU He1,*(), TIAN Shenzhen1, GONG Yilu3
Received:
2018-12-24
Revised:
2019-04-22
Online:
2019-11-28
Published:
2019-11-28
Contact:
LIU He
E-mail:1131228241@qq.com
Supported by:
LI Xueming, LIU He, TIAN Shenzhen, GONG Yilu. Network structure and influencing factors of urban human habitat activities in the three provinces of Northeast China:Based on Baidu Post Bar data[J].PROGRESS IN GEOGRAPHY, 2019, 38(11): 1726-1734.
Tab.4
Regression results of urban human habitat activity network impact factor"
变量 | QAP相关分析 | QAP回归1分析 | QAP回归2分析 | |||||
---|---|---|---|---|---|---|---|---|
相关系数 | P值 | 系数 | P值 | 系数 | P值 | |||
收入水平 | 0.126 | 0.057 | 0.051* | 0.030 | 0.088* | 0.035 | ||
空间邻近 | 0.389*** | <0.001 | 0.210*** | <0.001 | 0.239*** | <0.001 | ||
行政关系 | 0.394*** | <0.001 | 0.239*** | <0.001 | 0.317*** | <0.001 | ||
时间距离 | -0.385*** | <0.001 | -0.176 | 0.151 | ||||
产业结构 | -0.108** | 0.009 | 0.155 | 0.534 | ||||
就业机会 | -0.066 | 0.085 | -0.034 | 0.397 | ||||
旅游资源 | 0.344** | 0.002 | 0.321*** | <0.001 | 0.333*** | <0.001 | ||
R2=0.346 | R2=0.344 |
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