Spatial Association characteristics of facilities around scenic spots considering distance and orientation: A case study of 3A and above scenic spots in Beijing

In the urban tourism and service industry, the POI data with coordinate and attribute information of the major map platforms constitute one of the important data sources of the urban tourism and service industry. In this paper, the spatial data transaction database under four distances was established based on the gate buffer of 3A and above scenic spots in Beijing. The Apriori algorithm was used to calculate the lifting degree to obtain the distance for mining the best association features of 3A, 4A and 5A scenic spots, and then the association features of the three scenic spots in different directions were analysed.