Landscape Spatial Layout and Influencing Factors of Red Tourist Villages in Southern Hunan
By analyzing the spatial layout characteristics of the red tourist village landscape in southern Hunan,and sorting out the influencing factors of its spatial distribution,to provide a reference for the sustainable development of the rural red tourist landscape in Hunan Province.Based on 85 research samples of red village landscapes,with the help of Google Earth and ArcGIS10.7,various geographical research models such as nearest neighbor index,geographic concentration index,kernel density analysis,etc.,are adopted to study the spatial distribution characteristics and influencing factors of red tourist village landscapes in southern Hunan.The spatial distribution density of red village landscapes in southern Hunan is obviously uneven.The southeastern part of southern Hunan is mainly concentrated,and the distribution in the southeastern part of Chenzhou and the border between Chenzhou and Yongzhou is the most dense.The main factor affecting the landscape distribution of red tourist villages in southern Hunan is the historical background factor.There are obvious differences in landscape and spatial distribution between red tourist villages based on former residences of celebrities and anti-Japanese war memorials and red tourist villages formed during the Agrarian Revolution.In addition,there is a significant positive correlation between the number of rural traffic kilometers,per capita gdp,and tourism development and the distribution density of red tourist villages.Due to the unbalanced development among southern Shonen,in order to promote the coordinated development of cross-regional"red+boutique traditional villages"rural tourism,it is necessary to further improve the transportation infrastructure,strengthen inter-regional cooperation,vigorously cultivate red and professional compound tourism talents,and build a red tourism village system with distinctive key features and a complete layout.
red villagespatial layoutgeographic information system(GIS)influencing factorsSouthern Hunan
万方数据
维普
