Xingtong Wu
ABSTRACT
The high-quality development of tourism has been paid more and more attention. Studying the spatial distribution pattern of high-level tourist attractions is beneficial to provide theoretical guidance for optimizing the allocation of tourism resources. This study takes the high-level tourist scenic spots in Zhejiang Province as the research object. Based on POI data and Python related technologies, using the kernel density analysis method and standard deviation ellipse analysis method in the GIS spatial analysis method, analyzing high-level tourist attraction's overall and various spatial distribution characteristics. The study found that the overall distribution of high-grade tourist attractions in Zhejiang Province is uneven, showing a pattern of agglomeration in the north and scattered in the south. And the distribution of various types of tourist attractions has its own characteristics. This study proposes relevant suggestions, in order to provide theoretical guidance for optimizing the spatial layout of scenic spots in Zhejiang Province and promoting the high-quality development of tourism.
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Index Terms
- Spatial pattern analysis of high-level scenic spots under ArcGIS: —— Based on POI of Zhejiang high-level scenic spots
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