期刊文献+

基于ML分析的乡村空间发展模式识别与振兴途径研究 被引量:3

Identification and revitalization of rural spatial development patterns based on multi-level analysis
原文传递
导出
摘要 科学识别村域空间发展模式,分类推进乡村发展振兴,对于破解乡村发展不平衡不充分实现共同富裕目标具有重要现实意义。文中引入“网-区-场-极”多级分析multi-level analysis(ML)方法,以宁夏盐池县为例,利用引力模型、极化测度模型和因子分析法分析并识别该县核心村镇空间驱动场-乡村产地发展振兴极-乡村地域空间发展区,以期从空间地域多体视角识别和构建村域空间发展的多级目标体系,实现对村域空间发展类型划分的目的。结果表明:空间发展能力评价可衡量区域发展的综合实力,反映了区域空间发展类型的差异;“网-区-场-极”多级目标分析框架对于村域空间发展模式识别与划分具有较强的适用性;宁夏盐池县村域空间发展模式可识别为13个乡村产地发展振兴极、8个村镇空间场和5个乡村地域空间发展区,并针对乡村发展区的分区结果给出了相应的振兴途径。 Scientific identification of village spatial development model and classified promotion of rural development and revitalization are of great practical significance for solving the imbalance of rural development and fully realizing the goal of common prosperity.In this paper,a multi-level objective analysis method of‘network-district-field-pole’was introduced.Taking Yanchi county in Ningxia province as an example,gravitational model,polarization measurement model,factor analysis method and geo-detector method were used to analyze and identify township spatial driving field(field)-the revitalization pole of rural development(pole)-the spatial district of rural development(district).In order to identify and to achieve the division of the spatial development types of the village,we constructed a multi-level target system for the development of the village domain from a multi-dimension view of the spatial region.The results show that the evaluation of spatial development capability can measure the comprehensive strength of regional development and reflect the differences in the types of regional spatial development,and the multi-level objective analysis framework of‘network-district-field-pole’has strong applicability to identify and classify the spatial development types.The spatial development types of Yanchi county in Ningxia can be identified and divided into 5 spatial district of rural development and 13 rural development revitalization poles.According to the regionalization results of rural development district,the corresponding ways of revitalization were given.
作者 璩路路 李裕瑞 李明洋 曹智 周桂琳 姜旭 董世杰 QU Lulu;LI Yurui;LI Mingyang;CAO Zhi;ZHOU Guilin;JIANG Xu;DONG Shijie(School of Public Policy and Administration,Chongqing University,Chongqing 400044;Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101;Organization Department of Weidong District Committee,Pingdingshan City,Pingdingshan 467000;Rural Revitalization Bureau of Yanchi County,Yanchi 751500,China)
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2022年第5期25-32,共8页 Journal of Arid Land Resources and Environment
基金 国家自然科学基金项目(42101202,41801175) 中央高校基本科研业务费(2021CDJSKJC02) 重庆市社科规划青年项目(2021NDQN51)资助。
关键词 ML 模式识别 乡村振兴“网-区-场-极” 人地系统科学 宁夏盐池县 multi-level analysis development pattern identification rural revitalization“network-district-field-pole” human-earth system science Yanchi county of Ningxia province
  • 相关文献

参考文献24

二级参考文献433

共引文献2841

同被引文献60

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部