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山西省传统村落时空分异特征及其驱动机制研究

Spatial and Temporal Differentiation of Ancient Villages in Shanxi Province and its Driving Mechanism
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摘要 传统村落是我国农耕文明的载体,也是一个地域聚落文化遗产的精华.山西省传统村落数量在全国列居前五,数量较多并且特征鲜明.运用ArcGIS软件进行标准差椭圆、核密度分析、点密度分析、最邻近指数法以及地理集中指数等分析,探究山西省619个传统村落的时空分布特征,研究发现:山西省传统村落空间分布类型为“整体集聚+局部扩散”,并且形成了“四核、多点”的空间分布结构;山西省传统村落分布重心持续南移.对山西省传统村落的时空特征分析,有利于传统文化资源的保护和利用,为山西省传统村落保护利用工作的展开提供有力的支撑. Ancient villages are the concentrated embodiment of a region s traditional culture and the essence of history and humanity.The number of traditional villages in Shanxi Province ranks among the top five in China,with a large number and distinctive characteristics.ArcGIS software was used to explore the temporal and spatial distribution characteristics of 619 traditional villages in Shanxi Province by using standard elliptic difference method,kernel density analysis method,point density analysis method,nearest neighbor index,geographical concentration index,Moran index and other methods.The findings were as follows:the spatial distribution type of ancient villages in Shanxi Province is“overall agglomeration+local diffusion”,and has formed a“four-core,multi-point”spatial distribution structure.The distribution center of ancient villages in Shanxi Province continues to shift southward.The spatial and temporal characterization of traditional villages in Shanxi Province is conducive to the protection and utilization of traditional cultural resources,and provides a strong support for the protection and utilization of traditional villages in Shanxi Province.
作者 邵秀英 赵健宏 席雯 SHAO Xiuying;ZHAO Jianhong;XI Wen(College of Economic and Management,Taiyuan Normal University,Jinzhong Shanxi 030619,China;School of Geographical Science,Taiyuan Normal University,Jinzhong Shanxi 030619,China)
出处 《太原师范学院学报(自然科学版)》 2023年第4期87-96,共10页 Journal of Taiyuan Normal University:Natural Science Edition
基金 国家社科基金后期资助项目(18FGL018) 山西省艺术科学规划项目(22BA016) 太原师范学院校级研究生教育创新项目(SYYJSYC-2335)。
关键词 传统村落 时空分异 驱动机制 山西省 ancient village spatial-temporal differentiation driving mechanism Shanxi Province
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