Study of Smart City Tourist Attractions Based on Spatial Pattern POI Data

The research object of this paper is Yi County, Huangshan City. The research content is an in-depth analysis of tourist attractions in Yi County based on POI data. The research method adopts the kernel density estimation method, average nearest neighbor index and standard deviation ellipse, etc. Based on the spatial pattern characteristics of tourist attractions in Yi County, Huangshan City, the spatial divergence perspective is used to conduct an econometric analysis study on the distribution pattern and clustering characteristics of tourist attractions in Yi County. The research results show that: (1) On the whole, tourist attractions in Yixian County show a spatial distribution pattern of spatial agglomeration and accompanying synergistic development of multiple centers. (2) According to different tourist attractions, museums and art galleries, attractions, ancestral shrines and temples obviously show aggregation characteristics in space, and the spatial distribution characteristics of scenic spots and heritage sites also have a certain aggregation pattern. (3) There is a trend of partial overlapping of different types of tourist attractions. That is, various tourist attractions are clustered in towns with good tourism and economic development.