To transform discrete geospatial data into an insightful heatmap, this proposal focuses on the selection of geospatial indexing methods with traversal functionality, and the propagation of data like waves through space. This approach is implemented using open source libraries and applied to two real-world phenomena in Japan.

National-scale geospatial analysis using conventional geospatial RDBMS often faces trade-offs between spatial resolution and computational cost. It makes extracting insights from geospatial big data time-consuming or expensive. This proposal demonstrates two national-scale WebGIS applications built with open source pipelines to mitigate them.