As per #4, we need to demonstrate for users how basic filtering/interactivity could support decision making using an example scenario.
We plan to do this using results from the 20 minute neighbourhood intervention analysis undertaken by @StevePem.
A promising approach for smooth delivery of complex map-based data supporting interactivity is using map vector tiles. In particular,
PM Tiles provides an efficient approach to storing and delivery large scale complex data for interactive engagement by users as vector map tiles; these can be stored and streamed from AWS S3 simple storage buckets
Martin tile server provides a mechanism for real time querying and delivery of large scale map data (including PM Tiles, but also arbitrary database layers); this is apparently also compatible with serverless approaches such as AWS Lambda services (although documentation of this is light on)
MapLibre GL JS may be better placed to support interactivity using vector map tiles than Leaflet (e.g. PM Tiles documentation seems to recommend use of MapLibre GL JS when implementing interactivity with map tiles)
As per #4, we need to demonstrate for users how basic filtering/interactivity could support decision making using an example scenario.
We plan to do this using results from the 20 minute neighbourhood intervention analysis undertaken by @StevePem.
A promising approach for smooth delivery of complex map-based data supporting interactivity is using map vector tiles. In particular,
MapLibre GL JS may be better placed to support interactivity using vector map tiles than Leaflet (e.g. PM Tiles documentation seems to recommend use of MapLibre GL JS when implementing interactivity with map tiles)