首页 | 本学科首页   官方微博 | 高级检索  
     检索      

地理空间要素与贫困分布的关系研究——以赫章县为例
引用本文:张兰兰,吴启明,申朝永,刘芳,陈砚国.地理空间要素与贫困分布的关系研究——以赫章县为例[J].测绘通报,2021,0(12):120-123,129.
作者姓名:张兰兰  吴启明  申朝永  刘芳  陈砚国
作者单位:1. 贵州省第三测绘院, 贵州 贵阳 550004;2. 贵阳市土地矿产资源储备中心, 贵州 贵阳 550001
摘    要:本文以赫章县为例,以乡镇为研究单元,从地形地貌、土地资源、交通条件等方面构建地理空间要素评价指标。并利用地理探测器、地理加权回归模型等方法,从空间的视角科学分析地理空间要素对贫困化空间分布的影响,揭示了贫困程度与资源环境的空间分布规律,为实现因地制宜、精准脱贫,以及巩固脱贫摘帽成果提供了决策参考。

关 键 词:地理空间要素  贫困分布  地理探测器  地理加权回归  评价指标  
收稿时间:2020-11-02
修稿时间:2021-08-26

Study on the relationship between geo-spatial factors and distribution of poverty: taking Hezhang county as an example
ZHANG Lanlan,WU Qiming,SHEN Chaoyong,LIU Fang,CHEN Yanguo.Study on the relationship between geo-spatial factors and distribution of poverty: taking Hezhang county as an example[J].Bulletin of Surveying and Mapping,2021,0(12):120-123,129.
Authors:ZHANG Lanlan  WU Qiming  SHEN Chaoyong  LIU Fang  CHEN Yanguo
Institution:1. The Third Surveying and Mapping Institute of Guizhou Province, Guiyang 550004, China;2. Guiyang Land and Mineral Resources Reserve Center, Guiyang 550001, China
Abstract:Taking Hezhang county as an example, this paper takes the township as the research unit, constructs the evaluation index of geo-spatial factors from the aspects of topography, land resources, traffic conditions, etc. Using geodetector and weighted regression model, it scientifically reveals the influence of geographical space factors on the spatial differentiation of poverty, and reveals the spatial distribution of poverty degree and resources and environment from the perspective of space. The study provides decision-making reference for the implementation of policies to achieve targeted poverty alleviation and consolidate the achievements of poverty alleviation.
Keywords:geo-spatial factors  distribution of poverty  geodetector  weighted regression model  evaluation index  
本文献已被 万方数据 等数据库收录!
点击此处可从《测绘通报》浏览原始摘要信息
点击此处可从《测绘通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号