CORC  > 武汉大学
Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China
Xu, Zhixi; Cai, Zhongliang; Wu, Shufan; Huang, Xinran; Liu, Ji; Sun, Junying; Su, Shiliang; Weng, Min
刊名SOCIAL INDICATORS RESEARCH
2019
卷号142期号:3
关键词Geographically weighted regression Geographic indicators Poverty Spatial nonstationarity
ISSN号0303-8300
DOI10.1007/s11205-018-1953-9
URL标识查看原文
收录类别SSCI
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4264496
专题武汉大学
推荐引用方式
GB/T 7714
Xu, Zhixi,Cai, Zhongliang,Wu, Shufan,et al. Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China[J]. SOCIAL INDICATORS RESEARCH,2019,142(3).
APA Xu, Zhixi.,Cai, Zhongliang.,Wu, Shufan.,Huang, Xinran.,Liu, Ji.,...&Weng, Min.(2019).Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China.SOCIAL INDICATORS RESEARCH,142(3).
MLA Xu, Zhixi,et al."Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China".SOCIAL INDICATORS RESEARCH 142.3(2019).
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace