多灾山地区域农村居民点空间分布特征与影响机制研究  

Study on Spatial Distribution Characteristics and Impact Mechanism of Rural Settlements in Multi-disaster Mountainous Areas

作　　者：李知远 王培茗 谢敏 LI Zhiyuan;WANG Peiming;XIE Min(College of Architecture and Planning,Yunnan University,Kunming 650500,China)

机构地区：[1]云南大学建筑与规划学院,云南昆明650500

出　　处：《测绘与空间地理信息》2025年第2期50-53,57,共5页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金项目“基于定量分析的古村落建设安全智慧研究——以小江断裂带为例”(41867069);云南大学研究生科研创新基金项目(2021Y289);云南大学专业学位研究生实践创新项目(2021Y068)资助。

摘　　要：以多灾山地区域的盈江县为研究对象,运用GIS空间分析、景观格局指数法、地理探测器等方法研究农村居民点的空间分布特征和影响机制。结果表明:盈江县农村居民点空间分布具有正相关性,以“高—高”型和“低—低”型聚类为主,整体呈“北疏南密”的空间分布格局,从西北到东南呈阶梯状分布,且围绕大盈江呈现带状、单中心的分布格局;景观格局指数均偏小,居民点空间分布稀疏且形状复杂不规则,但整体分布较稳定;自然环境对居民点的影响要大于社会经济因素,其中高程对居民点的分布影响最大,其次是坡度,且由于地形的限制,居民点的分布多临近地震断裂带等容易造成地质灾害的区域。Taking the multi-disaster mountainous area in Yingjiang county as the research area,the spatial distribution characteristics and impact mechanism of rural settlements were studied by using GIS spatial analysis,landscape pattern index method,and geographical detector.The results show that the spatial distribution of rural settlements in Yingjiang county has a positive correlation,which is dominated by"high-high"and"low-low"clusters.The overall spatial distribution pattern is"sparse in the north and dense in the south","a stepped pattern from northwest to southeast",and"a strip like,single center distribution pattern around the Daying river";the landscape pattern index is small,and the spatial distribution of settlements are sparse and the shape is complex and irregular,but the overall distribution is stable.The impact of the natural environment on residential settlements is greater than that of social and economic factors,among which elevation has the greatest impact on the distribution of residential settlements followed by slope,and due to the limitation of terrain,the distribution of residential settlements is mostly close to the earthquake fault zones and other areas that are prone to geological disasters.

关 键 词：农村居民点 分布特征 影响机制 空间自相关 多灾山地区域 

分 类 号：P208[天文地球—地图制图学与地理信息工程]