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基于GPS数据的云南徒步旅游时空分布特征及其影响因素

Spatio-temporal Distribution Characteristics and Influencing Factors of Hiking Tourism in Yunnan Based on GPS Data
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摘要 基于GPS徒步轨迹数据,采用季节强度指数、核密度分析法、局部自相关法、缓冲区分析等方法,对云南徒步旅游的时空分布及其影响因素进行分析,研究发现:(1)从年际变化看,云南徒步旅游发展具有明显的阶段性特征;从年内变化看,云南徒步旅游季节性明显,集中在春季和初夏.(2)云南省徒步轨迹的空间分布随时间变化由西北向东南方向迁移,分布范围不断扩大,聚集程度不断下降,先后经历“极核状”分布——“点轴式”空间分布——“核心—边缘”式结构;徒步轨迹节点局部区域的关联模式呈现出明显的地理分异特征,形成自东向西区域热度递减的空间格局.(3)徒步轨迹主要分布在海拔1500~2500m之间、植被覆盖度高的地区,呈现出沿湖泊河流分布的特征;徒步轨迹的分布受城市、旅游景区、经济与人口的影响. The temporal and spatial distribution and influencing factors of hiking tourism in Yunnan were analyzed by using the method of seasonal intensity index, kernel density analysis, local autocorrelation method and buffer analysis Based on GPS data of the hiking tracks based on GPS data of the hiking tracks. The results were as follows:(1) In terms of inter-annual variation, the hiking tourism in Yunnan showed obvious characteristics of growth stages;in the field of the changes during the year, Yunnan hiking tourism was seasonal, concentrated in spring and early summer.(2) The spatial distribution of hiking track had migrated from northwest to southeast with the distribution range expanding and the degree of aggregation decreasing continuously, and it had experienced "polar core" distribution-"point axis" spatial distribution-"core-edge" structure. The correlation pattern of the local area of the hiking track node showed obvious geographical differentiation characteristics, forming a spatial pattern of decreasing heat from east to west.(3) The hiking tracks were mainly distributed along lakes and rivers where there were high vegetation coverage with the altitude between 1500 m and 2500 m. The distribution of hiking tracks was affected by factors such as altitude, vegetation, rivers, cities, scenic spots, economy and population.
作者 赵欧逸 尹一帆 王嘉学 ZHAO Ouyi;YIN Yifan;WANG Jiaxue(Faculty of Geography,Yunnan Normal University,Kunming Yunnan 650500,China)
出处 《曲靖师范学院学报》 2022年第6期63-72,共10页 Journal of Qujing Normal University
基金 云南省文化和旅游厅专项研究课题“云南省旅游产业要素研究与试点普查”(01300206020618018)。
关键词 徒步旅游 时空分布 影响因素 云南 hiking tourism spatio-temporal distribution influencing factors Yunnan
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