干旱区地理2025，Vol.48Issue(7)：1255-1266,12.DOI:10.12118/j.issn.1000-6060.2024.601
基于POI数据挖掘的内蒙古县域旅游要素空间分布特征及影响因素
Spatial distribution characteristics and influencing factors of tourism elements in counties of Inner Mongolia based on POI data
摘要
Abstract
Based on the"six elements"theory of tourism,this study explores the spatial distribution characteris-tics and influencing factors of tourism elements in the counties of Inner Mongolia,China,in 2023.Specifically,it utilizes tourism point of interest data at the county level and employs methods such as the nearest neighbor index,kernel density estimation,entropy method,comprehensive index,spatial autocorrelation,and geographical detec-tor.The findings reveal the following.(1)The tourism elements in counties of Inner Mongolia exhibit significant clustering characteristics,with"food","accommodation",and"shopping"being the most clustered elements,fol-lowed by"entertainment"and"transportation",whereas the"tourism"element is relatively dispersed.(2)An im-balance in the density distribution of tourism elements is observed,where areas south of the fitting line(Alagxa Left Banner to Jalaid Banner)generally have higher densities than those in the northern regions.Notably,cities such as Hohhot-Baotou-Erdos,Chifeng,and Tongliao,have dense clusters of tourism elements.(3)Tourism ele-ments demonstrate significant positive global autocorrelation,which includes four local autocorrelation patterns:low-low,low-high,high-high,and high-low.(4)The factors influencing the spatial distribution characteristics of tourism elements in the counties of Inner Mongolia span multiple dimensions,including economic,social,cultur-al,and natural environments,with economic and cultural factors identified as the core influences.关键词
旅游要素/POI数据/空间分布/内蒙古Key words
tourism elements/POI data/spatial distribution/Inner Mongolia引用本文复制引用
田志馥,于亚娟,黄辰宇..基于POI数据挖掘的内蒙古县域旅游要素空间分布特征及影响因素[J].干旱区地理,2025,48(7):1255-1266,12.基金项目
内蒙古自治区高等学校人文社会科学研究项目(NJSY23033) （NJSY23033）
内蒙古财经大学自治区"五大任务"研究专项一般项目(NCX-WD2435) （NCX-WD2435）
内蒙古产业发展研究基地项目(2023YB006)资助 （2023YB006）
