黄丽花, 熊昆林, 贾旭琪, 包广静, 何元斌. 基于GIS的云南省传统村落空间格局及其影响因素[J]. 云南农业大学学报(社会科学), 2024, 18(1): 141-149. DOI: 10.12371/j.ynau(s).202307039
引用本文: 黄丽花, 熊昆林, 贾旭琪, 包广静, 何元斌. 基于GIS的云南省传统村落空间格局及其影响因素[J]. 云南农业大学学报(社会科学), 2024, 18(1): 141-149. DOI: 10.12371/j.ynau(s).202307039
HUANG Lihua, XIONG Kunlin, JIA Xuqi, BAO Guangjing, HE Yuanbin. The Spatial Distribution and Influencing Factors of Traditional Villages in Yunnan Province Based on GIS[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(1): 141-149. DOI: 10.12371/j.ynau(s).202307039
Citation: HUANG Lihua, XIONG Kunlin, JIA Xuqi, BAO Guangjing, HE Yuanbin. The Spatial Distribution and Influencing Factors of Traditional Villages in Yunnan Province Based on GIS[J]. Journal of Yunnan Agricultural University (Social Science), 2024, 18(1): 141-149. DOI: 10.12371/j.ynau(s).202307039

基于GIS的云南省传统村落空间格局及其影响因素

The Spatial Distribution and Influencing Factors of Traditional Villages in Yunnan Province Based on GIS

  • 摘要: 以云南省传统村落为研究对象,以第1~5批入选中国传统村落名录的708个村落的空间分布数据为基础,采用GIS中的最近邻指数、核密度分析、地理加权回归模型等方法,研究云南省传统村落的空间分布特点及其影响因素,得出以下结论:(1)云南省传统村落的空间分布总体上呈现“大分散,小集聚”的格局;(2)村落空间分布随入选时间顺序呈现出由分散到集中并不断向核心集聚区强化的变化特征;(3)在所分析的影响因素中,自然地理环境要素对传统村落的分布影响较为直接;(4)社会经济影响因素中,交通区位的影响较为明显,且与交通的可达性呈反向相关;(5)少数民族人口占比较多且民族类型较单一的区域,传统村落聚集度相对较高。

     

    Abstract: This paper focused on traditional villages in Yunnan Province, utilizing spatial distribution data from 708 villages listed in the first to fifth batches of China’ s Traditional Village Directory. Various analytical methods, including nearest neighbor index, kernel density analysis, and geographically weighted regression models, were employed using GIS software to analyze the distribution of traditional villages and the factors influencing this distribution. The research findings were as follows: (1) The spatial distribution of traditional villages in Yunnan Province generally exhibited a pattern characterized by “large dispersion, small agglomeration” . (2) The spatial distribution structure of villages evolved over time, transitioning from dispersion to concentration, and progressively strengthening agglomeration in core areas as the selection time progresses. (3) Among the analyzed influencing factors, natural geographic elements had a more direct impact on the distribution of traditional villages. (4) Within the realm of socio-economic factors, the impact of transportation location was notably significant and exhibits an inverse correlation with transportation accessibility. (5) Regions with a higher proportion of a single ethnic group among the ethnic minority population tended to exhibit a higher level of agglomeration of traditional villages.

     

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