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作 者:汪章辉 WANG Zhanghui(Shanghai Surveying and Mapping Institute,Shanghai 200063,China;Key Laboratory of Spatio-temporal Big Data Analysis and Application of Natural Resources in Megacities,MNR,Shanghai 200063,China)
机构地区:[1]上海市测绘院,上海200063 [2]自然资源部超大城市自然资源时空大数据分析应用重点实验室,上海200063
出 处:《测绘与空间地理信息》2024年第3期46-50,共5页Geomatics & Spatial Information Technology
基 金:上海市2021年度“科技创新行动计划”社会发展科技攻关项目(21DZ1204100)资助。
摘 要:基于上海市全市教育资源的POI数据,以16个区为研究区,综合运用最邻近点指数、核密度估计、Ripley′s L函数等空间分析方法,探究教育资源的空间分布与集聚特征。结果表明:1)上海市基础教育资源总体呈中环以内密集、外环以外稀疏的特征,在空间上呈现为一个高集聚核心和分布于各区的多个次级集聚核心;2)各类教育资源分布集聚特征相似,集聚现象明显;3)各类教育空间的集聚程度随空间尺度的增大,呈现先增后减的趋势特征。研究结果对于实现城市教育资源分布的相对公平,构建城郊一体化的教育体制具有参考意义。Based on the POI(Point of Interest)data of Shanghai′s educational resources,this paper takes 16 districts as the study area,and comprehensively uses spatial analysis methods such as nearest neighbor index,kernel density estimation,and Ripley′s L function 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 agglomeration 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 degree 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 education system between urban and suburban areas.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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