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中国特色小镇的多层次空间聚类--基于Orange、GIS的与地理探测器的分析框架 被引量:1

Multi-hierarchical spatial clustering for characteristic towns in China:An Orange-based framework to integrate GIS and Geodetector
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摘要 As China’s economy and society continue to expand,urbanization in China has reached a new stage.In this context,China’s characteristic town development plans,from the national to the local level,provide a new impetus for the expansion of towns and cities,and contribute to rural revitalization.When assessing the universality of regional dynamics,China exhibits high diversity for regional development.This highlights a complex scientific problem associated with describing the underlying linkages and influencing variables between distinct regional characteristic towns.It also complicates the application of tools that support spatial orientation and spatial decision-making.To address this problem,this study proposes a cross-platform analytical framework that unifies data,geography information systems(GIS),unsupervised analysis,visualization,and Geodetector,with Orange as the core.Based on a review of distribution patterns and multi-hierarchical spatial clustering features,this paper focuses on the rise of characteristic towns in China and investigates the primary environmental and human factors influencing spatial heterogeneity in small towns.The findings show that the development level of characteristic towns under the“city-town”system varies across China.Multi-hierarchical cluster analysis effectively reveals the intrinsic features of characteristic towns and facilitates precise spatially-oriented decision-making under different scenarios.In the framework of the“natural-humanistic”and“city-town”systems,the Geodetector effectively measures the spatial stratified heterogeneity of each indicator in the characteristic towns.This reveals an inner logic among the diverse non-linear spatial correlations.Ultimately,the study deeply investigates the individual development of characteristic towns,and the synergistic construction of“city-town”systems,arguing that characteristic towns have the potential to create“city-town”interactive spaces,and the ability to realize“Orange+GIS”cross-platform synergies.
作者 张祚 窦玉倩 刘晓歌 龚哲 ZHANG Zuo;DOU Yuqian;LIU Xiaoge;GONG Zhe(School of Public Administration,Central China Normal University,Wuhan 430079,China;School of Forestry and Horticulture,Hubei Minzu University,Enshi 445000,Hubei,China)
出处 《Journal of Geographical Sciences》 SCIE CSCD 2023年第3期618-638,共21页 地理学报(英文版)
基金 National Natural Science Foundation of China,No.72174071,No.71774066。
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