Research on spatial differentiation of tourism resources in Suzhou City based on POI big data

doi:10.14088/j.cnki.issn0439-8114.2024.07.034

Abstract

Abstract: Taking Suzhou City, Jiangsu Province as the research object, based on the POI data of tourism resources in Suzhou City, this study comprehensively used methods such as kernel density analysis, spatial correlation analysis, and standard deviation ellipse analysis to explore the spatial characteristics of natural resource landscape （climate biological landscape, hydrological landscape） and cultural resource landscape （historical heritage landscape, modern cultural attraction landscape） data.The results showed that the overall spatial distribution of tourism resources in Suzhou City presented a core-edge structure, with Gusu District and Suzhou Industrial Park as the intensity centers and decreasing towards the surrounding areas. The tourism resources in the surrounding urban areas were relatively scattered;the four types of tourism resources, namely climate biological landscape, hydrological landscape, historical heritage landscape, and modern cultural attraction landscape, were mainly distributed in a multi-core manner. Only historical heritage landscapes were distributed in a single core manner, mainly between Gusu District and Suzhou Industrial Park;overall, the spatial correlation of various tourism resources in Suzhou was strong. From the perspective of natural resource landscape to cultural resource landscape, the four types of tourism resources happened to follow a southwest to northeast direction, which was related to the slowly sloping terrain of Suzhou from west to east.

Key words: POI, big data, tourism resources, spatial differentiation, Suzhou City, Jiangsu Province

CLC Number:

F590

XU Lan-tao, CHEN Xue-gang. Research on spatial differentiation of tourism resources in Suzhou City based on POI big data[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(7): 213-218.

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