Research and application of multi-scale population spatial big data aggregation model in map visualization
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.
population censusmass datageographic information systemmulti-scale space
万方数据
维普
