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长江经济带历史文化名镇名村空间分布特征及影响因素研究 被引量:8

Study on Spatial Distribution Characteristics and Influencing Factors of Historical and Cultural Towns and Villages in the Yangtze River Economic Belt
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摘要 长江经济带历史文化名镇名村是展示长江文化的重要窗口,也是挖掘、保护和利用长江经济带历史和传统文化的重要依据。该文基于多元地理加权回归,综合利用DBSCAN聚类算法和GIS空间分析方法,对长江经济带历史文化名镇名村空间分布及其影响因素进行分析,结果表明:1)长江经济带历史文化名镇名村可形成6个集聚区:江浙吴越历史文化村镇集聚区、皖赣徽商历史文化村镇集聚区、赣鄱历史文化村镇集聚区、巴蜀历史文化村镇集聚区、黔文化历史文化村镇集聚区和滇文化历史文化村镇集聚区。2)考虑变量空间异质性的多元地理加权回归结果更精确,作用尺度从大到小依次为地形、经济、生态、人口、交通因素。3)历史文化名镇名村空间分布是自然和社会经济多种因素共同作用的结果,影响强度从大到小依次为经济、人口、交通、地形、生态因素;地形和人口因素为负向影响,经济与交通因素为正向影响,影响强度均自西向东减弱,生态因素的影响强度自西向东由正转负。 The famous historical and cultural towns and villages in the Yangtze River Economic Belt are important windows for displaying the culture of the Yangtze River,and an important basis for excavating,protecting and utilizing the history and traditional culture of the Yangtze River Economic Belt.Based on multiscale geographical weighted regression(MGWR),DBSCAN algorithm and GIS spatial analysis method,this paper analyzes the factors influencing the spatial distribution of historical and cultural towns and villages in the Yangtze River Economic Belt.The results show that:1)Six clusters of historical and cultural towns and villages in the Yangtze River Economic Belt can be formed,which are:Wu-Yue historical and cultural towns and villages agglomeration area of Jiangsu-Zhejiang,Huizhou merchant historical and cultural towns and villages agglomeration area of Anhui-Jiangxi,Gan-Po historical and cultural towns and villages agglomeration area,Ba-Shu historical and cultural towns and villages agglomeration area,Guizhou historical and cultural towns and villages agglomeration area and Yunnan historical and cultural towns and villages agglomeration area.2)The regression results are more reliable after considering the spatial heterogeneity of variables by using MGWR model,and the scales of action are topography,economy,ecology,population and transportation factors in descending order.3)The spatial distribution of historical and cultural towns and villages is the result of a combination of natural and socio-economic factors.The impacts of topographic and demographic factors are negative,the impacts of economic and traffic factors are positive,and the degree of influence is weakened from west to east;ecological factors change from positive to negative from west to east.The descending order of the intensity of the influencing factors is:economy,population,transportation,topography and ecology.
作者 陶洁怡 董平 周年兴 陆玉麒 龚霄 马小宾 TAO Jie-yi;DONG Ping;ZHOU Nian-xing;LU Yu-qi;GONG Xiao;MA Xiao-bin(School of Geography,Nanjing Normal University,Nanjing 210023;College of Rural Vitalization,Nanjing Normal University,Nanjing 210023;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023;School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China)
出处 《地理与地理信息科学》 CSCD 北大核心 2022年第3期66-73,共8页 Geography and Geo-Information Science
基金 国家自然科学基金重点项目(41430635)。
关键词 历史文化名镇名村 多元地理加权回归 DBSCAN聚类算法 影响因素 长江经济带 historical and cultural towns and villages MGWR DBSCAN algorithm influencing factors Yangtze River Economic Belt
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