Spatial Correlation Analysis of Residential Area and Service Industry Distribution Based on POI Big Data
2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA)(2020)
摘要
The coordination of the spatial distribution of residential areas and service industries has positive significance for optimizing urban functional zoning and facilitating urban residents' work and life. Based on the POI data of Jinan City in 2018, this paper uses the GIS spatial analysis method to comprehensively analyze the current layout and associated characteristics of residential areas and different types of service industries. The results show that the high-kernel density areas of various service industries in Jinan are mainly distributed in the central urban area, including Lixia District, Shizhong District, Tianqiao District and Huaiyin District. The kernel density values of service industries in surrounding counties are low; The distribution of various service industries in Jinan has a strong positive spatial correlation, and the clustering results in the central urban area show high values and high values are adjacent; The distribution of residential areas and service industries in the downtown area of Jinan has a strong spatial correlation. The distribution of residential areas and service industries in surrounding counties is relatively discrete, and the spatial correlation is significantly lower than in the central urban area.
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关键词
service industry,POI,kernel density estimation,multivariate spatial correlation,spatial association
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