北京测绘2026，Vol.40Issue(9)：1275-1283,9.DOI:10.19580/j.cnki.1007-3000.2026030064
基于主成分的乡镇主体功能空间识别
Spatial identification of township-level major function oriented zoning based on principal component analysis
摘要
Abstract
Accurate identification of township-level major function-oriented zones(MFOZs)is a crucial prerequisite for operational-izing the downward transmission of territorial spatial planning to the grassroots level and implementing differentiated spatial gover-nance.Taking Quanzhou City,Fujian Province as a case study,this paper proposed a quantitative identification method coupling long-term remote sensing data with principal component analysis(PCA).Leveraging the global 30 m resolution land cover dataset GLC_FCS30-1985_2020,the study reconstructed the evolution history of the three-zone-space(covering ecological,agricultural,and urban spaces)between 1985 and 2020.An evaluation index system was built from the dual dimensions:resource endowment and development trend.PCA-based dimensionality reduction and the natural breaks classification method were used to grade func-tional dominance levels,which were then verified and optimized against the municipal"dual assessment"outcomes.The results show are as follows.① The identification results align closely with the historical spatial evolution pattern,and high-value zones for the three functional categories are spatially consistent with actual evolution hotspots.② The 164 township-level divisions across the city are subdivided into 7 secondary functional zones,including the food security guarantee zone,agricultural product advantage pro-duction zone,and urbanization optimization and development zone,with additional supplementary identifiers such as the historical and cultural resource agglomeration zone and marine ecologically critical zone overlaid on the zoning results.③ High-value zones for urban functions accurately capture the spatial distribution of strategic growth poles such as the Quanzhou Bay Core Zone and the South Wing High-tech Industrial Development Zone.The technical framework developed in this study,which follows the workflow of long-term data retrospective analysis-evolutionary feature extraction-dual-dimensional index system construction-PCA-based quan-titative evaluation-aggregation verification and calibration,provides a data-driven technical paradigm for refined identification of township-level MFOZs and dynamic monitoring of territorial spatial patterns.关键词
主体功能区/乡镇尺度/长时序遥感数据/"三区空间"/主成分分析(PCA)/国土空间格局/泉州市Key words
main functional zone/township scale/long-term remote sensing data/three-zone-space/principal component analysis(PCA)/territorial spatial pattern/Quanzhou City分类
天文与地球科学引用本文复制引用
张洪升..基于主成分的乡镇主体功能空间识别[J].北京测绘,2026,40(9):1275-1283,9.基金项目
国家自然科学基金(42471304) （42471304）
