Fine identification and planning of county industrial map from the perspective of spatial big data analysis
CHEN Shuxin
Abstract：Taking Etoke Banner in Ordos City,Inner Mongolia Autonomous Region as a research case,this study conducts in-depth reclassification of industry function POI data from Gaode Map based on spatial big data analysis methods.Combined with local spatial autocorrelation analysis techniques and using GeoDa and ArcGIS software,the study achieves fine-grained identification and visualization analysis of industrial spatial layout.It identifies industrial agglomeration areas in Etoke Banner,generates LISA cluster maps for the three major industries,and plans future spatial layouts based on the current development status of these industries.The results show that the industrial spatial layout in Etoke Banner exhibits significant agglomeration characteristics,with the"high-high"agglomeration areas of the primary industry concentrated in the central urban area,while those of the secondary and tertiary industries are mainly distributed in the central urban area and industrial towns.Additionally,three types of characteristic areas were identified:priority development areas,key cultivation areas,and potential support areas.
Keywords：county industry mapPOI datalocal space autocorrelationrefinement
Publication Date：2025-01-27
Pages：4( 84-87 )