贵州省红、绿、古色旅游景区空间结构与相关性分析及优化

Distribution Pattern and Spatial Correlation Analysis of Red,Green and Ancient Scenic Spots in Guizhou Province

对贵州省3A级及以上高等级旅游景区为研究对象,按照景区主要属性将其划分为红、绿、古色旅游景区,运用最邻近指数、核密度分析以及空间自相关分析研究其空间分布特征。结果表明:(1)贵州省高等级红色旅游景区空间分布为随机型,绿、古色旅游景区空间分布为集聚型,其中古色旅游景区集聚程度最大;(2)贵州省各类型高等级旅游景区空间分布密度总体呈现“西北多东南少”的分布特征,红色旅游景区呈“一核两点”的分布特征,绿色旅游景区呈“两核多点”的分布特征,古色旅游景区主要围绕具有历史文化底蕴的城市分布;(3)贵州省各类型高等级旅游景区之间均存在较弱的空间自相关,热点区主要位于黔西北地区,黔西南、黔南、黔东南位于冷点区。最后,基于上述研究结果,从红、绿、古色专项旅游发展的角度提出贵州省各类型高等级旅游景区空间分布优化的建议。

Taking the high-level tourist attractions of 3A and above in Guizhou Province as the research object,red,green and ancient tourist attractions were divided out according to the main attributes of the scenic spots.The spatial distribution characteristics were studied by using the nearest neighbor index,kernel density analysis and spatial autocorrelation analysis.The results are as follows.The spatial distribution of high-grade red tourist attractions in Guizhou Province is random,and the spatial distribution of green and ancient tourist attractions is clustered,among which the ancient tourist attractions has the largest degree of agglomeration.The spatial distribution density of various types of high-grade tourist attractions in Guizhou Province generally shows the distribution characteristics of“more in the northwest and less in the southeast”.The red tourist attractions show the distribution characteristics of“one core and two points”.The green tourist attractions show the distribution characteristics of“two cores and multiple points”,while the ancient tourist attractions are mainly distributed around cities with historical and cultural heritage.The hot spots are mainly located in the northwest of Guizhou,and the southwest,south and southeast of Guizhou were located in the cold spots.Finally,based on the above research results,suggestions for optimizing the spatial distribution of various types of high-level tourist attractions in Guizhou Province are proposed from the perspective of red,green and ancient special tourism deve-lopment.