曲靖师范学院学报 ›› 2021, Vol. 40 ›› Issue (6): 55-61.

• 云贵高原资源环境研究 • 上一篇    下一篇

基于ArcGIS的云南省特色小镇空间分布及影响因素分析

倪玲梅, 宋洁, 杜国川   

  1. 曲靖师范学院 文化旅游学院,云南 曲靖 655011
  • 收稿日期:2021-04-26 出版日期:2021-11-26 发布日期:2021-12-10
  • 作者简介:倪玲梅,曲靖师范学院文化旅游学院讲师,博士,主要从事地质学及地质旅游研究.
  • 基金资助:
    云南省教育厅教师类项目“新时代滇中五州市地质公园协同创新发展存在的问题及对策研究”(2018JS441).

Analysis of Spatial Distribution and Influencing Factors of Characteristic Towns in Yunnan Based on ArcGIS

NI Lingmei, SONG Jie, DU Guochuan   

  1. School of Culture and Tourism,Qujing Normal University,Qujing Yunnan 655011,China
  • Received:2021-04-26 Published:2021-11-26 Online:2021-12-10

摘要: 云南特色小镇在全省的分布不均衡,地区差异明显.以云南省入选创建名单的105个特色小镇为对象,运用ArcGIS进行空间分析,结合数理统计,研究云南特色小镇空间分布形态及影响其分布和发展的因素.研究结果为:特色小镇数量在各个州市差距较大,其中红河州的特色小镇数量最多,迪庆州的特色小镇最少;特色小镇的类型主要以旅游小镇为主,农业小镇为辅;云南省特色小镇表现出集聚的空间分布状态,呈凝聚型分布,空间分布密度呈北部疏、中部和南部密,形成了保山市西部、昆明-红河-玉溪两个高密集区,以大理为核心的一个次级密度区;特色小镇空间分布受地形地貌、自然和人文资源禀赋、交通路网、政策因素的影响.

关键词: 空间分布, 影响因素, 特色小镇, 云南省

Abstract: The distribution of Yunnan characteristic towns in the whole province is uneven with obvious regional differences.One hundred and five characteristic towns in Yunnan were chosen for spatial analysis by using ArcGIS.Combined with mathematical statistics,the spatial distribution of characteristic towns in Yunnan and the factors affecting their distribution and development were studied.The results are as follows: there is a large gap in the number of characteristic towns among different states in Yunnan with the largest number of characteristic towns in Honghe and in Diqing; the types of characteristic towns are mainly tourism towns supplemented by agricultural towns; the spatial distribution of characteristic towns in Yunnan is agglomerative with sparse density in the north,dense in the middle and south,forming two high density areas in the west of Baoshan,Kunming-Honghe-Yuxi,and a secondary density area with Dali as the core.The spatial distribution of characteristic towns is affected by topography,natural and human resources endowment,traffic network,and policy factors.

Key words: spatial distribution, influencing factors, characteristic towns, Yunnan

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