干旱区资源与环境2026，Vol.40Issue(2)：53-67,15.DOI:10.13448/j.cnki.jalre.2026.024
基于地域综合体识别的县域国土空间区划方法研究
Methodology of county-level territorial space zoning based on territorial complex identification:A case study of Xifeng District,Qingyang City
摘要
Abstract
To address the challenges of element coordination,structural adaptation,and functional conflicts in the high-quality development of county-level territorial space,this study constructs a"resource-population-industry"regional complex theoretical model.Using methods such as weighted kernel density analysis,DBSCAN spatial clustering algorithm,and exploratory spatial data analysis,the study proposes a three-in-one county-level territorial space zoning methodology consisting of"multi-source data fusion,functional element analysis,and spatial clustering analysis."The methodology is empirically applied to Xifeng District,Qingyang City.The results indicate that:1)The proposed zoning method can identify cross-administrative boundary spatial clusters of elements,forming community units for the high-quality development of"resource-population-industry"elements,thus effectively exploring cross-regional"city-town-village"coordinated planning methods.2)Based on the identification of regional complexes,the territorial space of Xifeng District is zoned into urban-rural integration,town-village integration,and rural symbiosis units according to zoning principles,with differentiated development models proposed.The urban-rural integration type accounts for 13.32％,the town-village integration type for 34.29％,and the rural symbiosis type for 52.39％.3)The precise identification of regional complexes within the county effectively solves the problem of extensive zoning and spatial mismatch of elements in county-level territorial space planning.关键词
地域综合体/国土空间区划/空间聚类/乡村振兴/协同规划Key words
regional complex/land space zoning/spatial clustering/rural revitalization/collaborative planning分类
建筑与水利引用本文复制引用
董鹏达,张中华,王帅,董格..基于地域综合体识别的县域国土空间区划方法研究[J].干旱区资源与环境,2026,40(2):53-67,15.基金项目
国家自然科学基金面上项目(52478068) （52478068）
"十四五"国家重点研发计划重点专项课题(2022YFC3802801)资助. （2022YFC3802801）
