Based on the POI (Point of Interest) data of Shanghai's educational resources, this paper takes 16 districts as the study ar-ea, and comprehensively uses spatial analysis methods such as nearest neighbor index, kernel density estimation, and Ripley's L func-tion to explore the spatial distribution and aggregating features of educational resources. The results show that: 1) Shanghai's basic education resources are generally dense within the middle ring and sparse outside the outer ring, and spatially present as a high ag-glomeration core and multiple secondary agglomeration cores distributed in various districts; 2) The distribution and agglomeration characteristics of various educational resources are similar, and the agglomeration phenomenon is obvious; 3) The agglomeration de-gree of various educational spaces increases first and then decreases with the increase of the spatial scale. The research results have reference significance for realizing the relatively fair distribution of urban educational resources and constructing an integrated educa-tion system between urban and suburban areas.
维普
万方数据