首页|基于POI大数据的苏州市旅游资源空间分异研究

基于POI大数据的苏州市旅游资源空间分异研究

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以江苏省苏州市为研究对象,在苏州市旅游资源POI数据的基础上,综合运用核密度分析、空间相关性分析、标准差椭圆分析等方法对自然资源景系(气候生物景类、水文景观景类)、文化资源景系(历史遗产景类、现代人文吸引物景类)的数据进行空间特征的探索。结果表明,苏州市旅游资源总体空间分布呈现出核心-边缘的结构,以姑苏区与苏州工业园区为强度中心向四周递减,周边市区的旅游资源较分散;气候生物景类、水文景观景类、历史遗产景类、现代人文吸引物景类4类旅游资源以多核心分布为主,只有历史遗产景类旅游资源是单核心分布,其主要位于姑苏区与苏州工业园区之间;整体上苏州市各类旅游资源的空间相关性较强,从自然资源景系到文化资源景系的顺序来看,4类旅游资源恰好是西南到东北的走向,这与苏州市自西向东缓缓倾斜的地形相关。
Research on spatial differentiation of tourism resources in Suzhou City based on POI big data
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 Indus-trial 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 heri-tage landscapes were distributed in a single core manner,mainly between Gusu District and Suzhou Industrial Park;overall,the spa-tial correlation of various tourism resources in Suzhou was strong.From the perspective of natural resource landscape to cultural re-source 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.

POIbig datatourism resourcesspatial differentiationSuzhou City,Jiangsu Province

徐澜涛、陈学刚

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新疆师范大学地理科学与旅游学院,乌鲁木齐 830054

新疆师范大学新疆维吾尔自治区干旱区湖泊环境与资源重点实验室,乌鲁木齐 830054

POI 大数据 旅游资源 空间分异 江苏省苏州市

国家自然科学基金地区科学基金项目

41461033

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(7)
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