Bulletin of Surveying and Mapping ›› 2024, Vol. 0 ›› Issue (3): 145-150.doi: 10.13474/j.cnki.11-2246.2024.0325

Previous Articles     Next Articles

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

LI Yayun1,2, XIN Jing1,2, CONG Jing1,2   

  1. 1. Shanghai Municipal Institute of Surveying and Mapping, Shanghai 200063, China;
    2. Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, MNR, Shanghai 200063, China
  • Received:2023-06-19 Published:2024-04-08

Abstract: 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.

Key words: population census, mass data, geographic information system, multi-scale space

CLC Number: