云南省景区密度时空分异探究
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  • 英文篇名:Study on Spatial and Temporal Differentiation of Scenic Spot Density in Yunnan Province
  • 作者:张红梅 ; 明庆忠
  • 英文作者:ZHANG Hong-mei;MING Qing-zhong;Yunnan University of Finance and Economics;
  • 关键词:云南省 ; 景区密度 ; 时空分异 ; 地理探测器
  • 英文关键词:Yunnan province;;scenic area density;;temporal and spatial;;geographical detector
  • 中文刊名:YZSF
  • 英文刊名:Journal of Xinzhou Teachers University
  • 机构:云南财经大学;
  • 出版日期:2019-04-30
  • 出版单位:忻州师范学院学报
  • 年:2019
  • 期:v.35;No.149
  • 基金:云南省哲社基地重点资助项目(JD2017ZD02);; 云南财经大学研究生创新基金项目(2018YUFEYC027)
  • 语种:中文;
  • 页:YZSF201902011
  • 页数:5
  • CN:02
  • ISSN:14-1286/G
  • 分类号:58-62
摘要
A级景区分布密度是衡量区域旅游发展的重要指标,并且景区密度时空分异规律揭示着区域旅游发展历程。基于云南省2009年和2016年A级景区数据以及相关年鉴统计资料,文章计算了云南省各市州A级景区密度,借助ArcGIS可视化技术直观揭示云南省景区密度的时空分异特征。同时采用地理探测器研究影响云南景区密度时空分异的主导因素,以期为云南省景区结构优化、实现可持续旅游提供一定的借鉴意义。研究发现:交通因素、人口集聚因素、经济发展因素以及开放水平因素对云南景区密度的影响的显著性不同,同一因素不同时间节点的影响程度也不相同。
        The distribution density of A-level scenic spots is an important indicator to measure the development of regional tourism,and the spatial and temporal differentiation of scenic spot density reveals the development history of regional tourism. Based on the data of A-class scenic spot in Yunnan province in 2009 and 2016 and the statistical data of relevant yearbook,this paper calculates the density of A-class scenic spot in Yunnan province,and intuitively reveals the spatiotemporal differentiation characteristics of scenic spot density in Yunnan province with the help of Arc GIS visualization technology. At the same time,the Geographical Detector is used to study the dominant factors affecting the density and spatial differentiation of Yunnan scenic spots,in order to provide some reference for the optimization of scenic spots and the realization of sustainable tourism in Yunnan province. The results showed that the influence of traffic factors,population agglomeration factors,economic development factors and open level factors on the density of Yunnan scenic spots was different,and the influence degree of different time nodes of the same factor was not the same.
引文
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