云南师范大学学报（自然科学版）2024，Vol.44Issue(2)：69-78,10.DOI:10.7699/j.ynnu.ns-2024-027
基于地理探测器和GIS的云南省传统村落空间分布格局及其影响因素研究
Study on the Spatial Distribution Pattern of Traditional Villages and Its Influencing Factors in Yunnan Based on Geo-detector and GIS
摘要
Abstract
With 777 traditional villages in Yunnan as the research object,using Arc GIS10.7 tools,we analyzed the spatial distribution characteristics of traditional villages in Yunnan from three dimensions of nature,society and culture and their influencing factors by using a combination of methods such as spatial autocorrelation,closest-neighbor index,standard deviation ellipse,kernel density analysis and geodetic detector.The results show that(1)the spatial distribution of traditional villages in Yunnan presents a distribution pattern of"dense in western Yunnan,sparse in eastern Yunnan,dense in north-west,sparse in northeast,dense in southeast and sparse in southwest".(2)The spatial distribution of traditional villages in Yunnan has significant directionality and agglomeration,and the province as a whole shows a"three-core"distribution pattern,which is a combination of agglomeration and decen-tralized distribution pattern.The overall and local directionality is"northwest to southeast pointing".In terms of spatial distribution and agglomeration,high-density areas are mainly distributed in Honghe H ani and Yi Autonomous Prefecture(South Yunnan),Baoshan(West Yunnan),Dali Bai Autonomous Prefecture and Lijiang(Northwest Yunnan).(3)The spatial distribution of traditional villages in Yun-nan is characterized by the mutual coupling of natural,humanistic,social and policy-oriented factors.Water reserves,per capita GDP,road mileage,the proportion of ethnic minorities and cultural diversity index are the main influencing factors.关键词
传统村落/空间分布/地理探测器/Arc GIS/影响因素/云南省Key words
Traditional villages/Spatial distribution/Geo-detector/ArcGIS/Influencing factors/Yunnan分类
社会科学引用本文复制引用
郭帅龙,杨建欣,马长乐,龚郁舒,高灿,康新玲,李瑞..基于地理探测器和GIS的云南省传统村落空间分布格局及其影响因素研究[J].云南师范大学学报（自然科学版）,2024,44(2):69-78,10.基金项目
云南省教育厅科学研究基金资助项目(2023Y0757,2023Y0743) （2023Y0757,2023Y0743）
西南林业大学风景园林预研基金资助项目(18210171). （18210171）
