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基于GIS的云南省传统村落空间分布特征研究

SPATIAL DISTRIBUTION CHARACTERISTICS OF TRADITIONAL VILLAGES IN YUNNAN PROVINCE:A GIS-BASED ANALYSIS

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【作者】 郜鲁豪徐旌夏芳

【Author】 GAO Luhao;XU Jing;XIA Fang;Yunnan Provincial Surveying and mapping geographic information science and Technology Development Limited company;Yunnan University;Dianchi College;

【通讯作者】 徐旌;夏芳;

【机构】 云南省测绘地理信息科技发展有限公司云南大学滇池学院

【摘要】 基于GIS平台,采用平均最近邻指数、地理集中指数、不平衡指数、核密度、标准差椭圆以及全局与局部空间自相关等方法,对云南省777个国家级传统村落空间分布特征进行定量分析。结果显示,云南省传统村落总体呈现出较明显的空间集聚特征,不同州市之间数量差异较大,空间上表现为西部和中南部相对集中、东北部和南部相对稀疏。传统村落的分布中心总体位于省域中部偏西地区,空间方向则由西北—东南向逐步转为东西向。大理、保山、红河和德宏等地区属于高密度集聚区,昭通、曲靖和西双版纳等地区则以低密度分布为主。全局莫兰指数结果表明,云南省传统村落在整体上存在正向空间自相关,局部空间自相关分析进一步识别出高值集聚区与低值集聚区的空间差异。

【Abstract】 Based on the GIS platform, the spatial distribution characteristics of 777 national-level traditional villages in Yunnan Province were quantitatively analyzed by using methods such as mean nearest neighbor index, geographic concentration index, imbalance index, kernel density, standard deviation ellipse, and global and local spatial autocorrelation.The results show that the traditional villages in Yunnan Province generally show obvious spatial agglomeration characteristics, and the number varies greatly between different states and cities, which is spatially relatively concentrated in the west and central and south, and relatively sparse in the northeast and south.The distribution center of traditional villages is generally located in the west-central region of the province, and the spatial direction gradually changes from northwest to southeast to east and west.Dali, Baoshan, Honghe and Dehong are high-density agglomeration areas, while Zhaotong, Qujing and Xishuangbanna are mainly low-density distribution.The results of the global Moran index show that there is a positive spatial autocorrelation in the traditional villages in Yunnan Province as a whole, and the local spatial autocorrelation analysis further identifies the spatial differences between high-value agglomeration areas and low-value agglomeration areas.

  • 【文献出处】 云南地理环境研究 ,Yunnan Geographic Environment Research , 编辑部邮箱 ,2026年02期
  • 【分类号】TU982.29;P208
  • 【下载频次】215
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