摘要
借助Python,Arc GIS以及Excel等工具构建多尺度格网和空间信息熵指数模型,基于POI大数据对长沙市所有旅游吸引物的丰度及互补度进行定量化探究,为乡村振兴背景下减少资源同质化现象提供参考。结果表明:尺度效应对长沙市旅游吸引物互补性影响不大,旅游吸引物除传统市区外整体呈现大分散、小集聚的空间分布格局;长沙市旅游吸引物丰度表现为中部高、西部与东部低的特点;长沙市空间信息熵指数存在显著区域差异,空间信息熵指数模型在资源互补性定量评价方面效果较好。
In order to provide new reference for the reduction of resource homogeneity in the context of rural revitalization,the Python,ArcGIS and Excel were used to build multi-scale grids and a model of spatial information entropy for all POI tourism in Changsha City based on big data.The abundance and complementarity of the attractants were quantified.The research shows that: The scale effect has little effect on the complementarity of tourism attraction in Changsha City.The attraction has a spatial distribution pattern of large dispersion and small agglomeration except the traditional urban area.The abundance of tourist attractions in Changsha City is high in the central part,low in the west and east.The index of spatial information entropy is effective in quantitative evaluation of resource complementarity and there are significant regional differences of spatial information entropy index in Changsha City.
作者
龚熊波
杨波
刘雨先
王守梅
GONG Xiongbo;YANG Bo;LIU Yuxian;WANG Shoumei(School of Geography Science,Hunan Normal University,Changsha 410006,China;Key Laboratory of Geospatial Big Data Mining and Application of Hunan Prorince,Hunan Normal University,Changsha 410006,China)
出处
《地域研究与开发》
CSSCI
CSCD
北大核心
2021年第4期80-84,共5页
Areal Research and Development
基金
国家自然科学基金项目(41171342)
湖南省教育厅重点项目(17A127)。
关键词
旅游吸引物
多尺度
互补度
空间信息熵
POI
长沙市
tourism attraction
multi-scale
complementarity
spatial information entropy
POI
Changsha City
