How would you generalize a very high density vector map for various zoom levels ?

• tippecanoe

  7 904 7.6 C++

  Build vector tilesets from large collections of GeoJSON features. (by felt)

  

  Things I have tried so far: - Just using native vector tile conversion as it involves feature simplification. Doesn't work since smallest feature just disappear, resulting in blank regions instead of "averaged" regions. - Using tippecanoe's built in features to drop/merge in densest zones. Results are disappointing because of unexpected (and too big) differences between each zoom level. - Rasterizing the map, sieving, then vectorizing with smoothing. Doesn't work because pixel information are mixed. I would need a way to rasterize while preserving the land-cover category (with some kind of majority filter ?), but haven't find a way to do this with any QGis built-in or plugin feature.

• InfluxDB

  www.influxdata.com featured

  Purpose built for real-time analytics at any scale. InfluxDB Platform is powered by columnar analytics, optimized for cost-efficient storage, and built with open data standards.

  

• tippecanoe

  7 2,699 1.5 C++

  Build vector tilesets from large collections of GeoJSON features.

  

  or you can build several geojson add the zoom level at feature with their extension and then merge into one geojson. https://github.com/mapbox/tippecanoe

Suggest a related project