多尺度人口空间大数据聚合模型在地图可视化中的研究与应用  

Research and application of multi-scale population spatial big dataaggregation model in map visualization

作　　者：李亚云 忻静 丛婧 LI Yayun;XIN Jing;CONG Jing(Shanghai Municipal Institute of Surveying and Mapping,Shanghai 200063,China;Key Laboratory of Spatial-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：《测绘通报》2024年第3期145-150,共6页Bulletin of Surveying and Mapping

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)。

摘　　要：为解决海量人口和建筑物数据导致的地图渲染时间长、页面卡顿无响应等技术问题,本文提出了一种多尺度人口空间大数据聚合模型,通过研究海量数据逐级嵌套的树型逻辑架构和可视域内的空间关系,实现了超大城市多尺度行政区域的人口空间数据统计分析与可视化,并在多源异构属性融合方面得到了较好的应用,更好地满足了超大城市精细化管理需求。In order to solve the technical problems such as long rendering time of maps and unresponsive pages caused by massive population and building data,a multi-scale population spatial big data aggregation model is proposed in this paper.By studying the hierarchical nested tree logical structure of massive data and spatial relationship within the viewable area,the statistical analysis and visualization of population spatial data in the multi-scale administrative areas of megacities are realized.It has been well applied in multi-source heterogeneous attribute fusion,which better meets the needs of fine management of megacities.

关 键 词：人口普查 海量数据 地理信息系统 多尺度空间 

分 类 号：P28[天文地球—地图制图学与地理信息工程]