Abstract: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 are 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 have 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 are 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 development.