| Taking 171 key rural tourism villages in the southwestern ethnic regions as the research object, this paper comprehensively used ArcGIS spatial analysis, nearest neighbor index, geographic concentration index, nuclear density analysis, geographic connection rate and other statistical methods to analyze the spatial distribution characteristics and influencing factors of key rural tourism villages. The results showed that the nearest neighbor index of the key rural tourism villages in the study area was 0.789, indicating that the villages were spatially cohesively distributed; the geographic concentration index G=44.90, which was greater than the geographic concentration index of 34.2 under the ideal distribution, indicating that the villages were spatially agglomerated, but the degree of agglomeration was not high; the distribution density of key rural tourism villages in the study area showed a multi-core feature, the high density value areas were Chengdu City, Southeast Chongqing, Southwest Chongqing, Liupanshui City, Qiannan Buyi and Miao Autonomous Prefecture, among which Chengdu had the highest nuclear density value; the distribution of key rural tourism villages in the study area was affected by factors such as topography, rivers and lakes, resource endowments, population distribution, economic development level, and transportation distribution. |
