Tourism spatial association analysis based on GIS technology for the cities in Anhui of China

This paper is based on the spatial interaction theory. By using the Wilson model and GIS network analysis, four ranks of tourism spatial interaction strength can be got. Then the global tourism spatial association and four types of tourism spatial association are obtained by spatial autocorrelation. The calculations of global spatial autocorrelation indicates that the significance level of global tourism spatial association is low, and spatial differences remain in the tourism of Anhui Province. According to local spatial autocorrelation, we find that the south is a hot tourist region, but the north forms a cold tourist region and the middle presents most differences. On the basis of all the analyses, we conclude that tourist supply abilities of cities determine their tourism advance and tourism spatial association.