建设乡村旅游重点村是高位推进乡村振兴战略的重要措施，揭示其空间格局与影响因素，能够为提升乡村旅游品质，实现乡村振兴提供科学依据。以宁夏94个自治区级以上乡村旅游重点村为研究对象，基于数字高程模型（DEM）、气象数据、旅游资源、社会经济发展等多源数据，借助ArcGIS软件，集成多种空间分析模型探究了其空间格局与影响因素。结果表明：（1）宁夏乡村旅游重点村落呈集聚型分布，空间分布不均衡，主要集中于偏率为0.71、角度为1.74°的“南-北”两极椭圆形区域内，明显呈北部“一核”成熟增长和南部“一核”雏形发育的“双核”分布特征。（2）宁夏乡村旅游重点村自然地理和人文地理空间差异显著，乡村旅游重点村数量与海拔、坡度呈负相关关系，其土地资源利用方式以耕地为主，且交通以高速公路为主要快速可进入方式，总体上经济发展活跃和人口数量较多的宁夏沿黄城市带和银川平原重点村数量相对较为密集。（3）宁夏乡村旅游重点村是多重因素综合影响的结果，城镇人均收入是主导因素，各因子的交互作用对乡村旅游重点村空间集聚产生影响，地理加权回归模型进一步验证了乡村旅游重点村空间分布格局与自然环境、交通配套、社会经济和资源禀赋有关。

Establishing key villages as the cornerstone of rural tourism is a pivotal strategy for advancing comprehensive rural revitalization at a higher level. Identifying the spatial pattern and influencing factors of these villages can provide a scientific basis for enhancing rural tourism quality and achieving revitalization goals. This study focuses on 94 key rural tourism villages in the Ningxia Hui Autonomous Region, China, using data from digital elevation models, meteorological data, tourism resources, and socio-economic development indicators. ArcGIS software was employed to integrate various spatial analysis models to explore the spatial patterns and influencing factors of these villages. The results indicate that: (1) The key rural tourism villages in Ningxia exhibit a clustered distribution with significant spatial variability. These villages are predominantly concentrated in an elliptical area with a deviation rate of 0.71 and an angle of 1.74°, forming a “double nucleus” distribution pattern. The northern nucleus shows mature growth, while the southern nucleus is in an embryonic stage of development. (2) There are notable differences in the natural and human geographic spaces among key rural tourism villages in Ningxia. The number of key villages is negatively correlated with altitude and slope. Land resource utilization is primarily focused on agricultural land, and expressways serve as the main mode of rapid and accessible transportation. Generally, key villages are densely distributed in the Ningxia Yellow River Economic Belt and Yinchuan Plain, regions characterized by active economic development and higher population density. (3) The selection of key rural tourism villages in Ningxia results from the combined influence of multiple factors, with per capita urban income identified as the dominant factor. The interaction between these factors influences the spatial agglomeration of the villages. The geographically weighted regression model further confirms that the spatial distribution pattern of key rural tourism villages is associated with the natural environment, transportation infrastructure, socio-economic factors, and resource endowment.