tippecanoe
flatgeobuf
tippecanoe | flatgeobuf | |
---|---|---|
7 | 4 | |
772 | 639 | |
5.2% | 2.2% | |
8.0 | 8.8 | |
23 days ago | 10 days ago | |
C++ | Rust | |
BSD 2-clause "Simplified" License | BSD 2-clause "Simplified" License |
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tippecanoe
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Geospatial Nix – create, use and deploy today
This is awesome. Such a great use case for nix.
I do a lot of geospatial processing in the cloud and I've been using Tippecanoe a lot to create vector tiles. It pairs well with PM Tiles for storing on the cloud. It seriously increases the web app performance for massive data sets. I queue these up with ECS tasks to process our json/csv/parquet input and create optimize vector tile outputs.
https://github.com/felt/tippecanoe
https://github.com/protomaps/PMTiles
Tippecanoe would be a great addition to your nix packages. I've been thinking more and more about how Nix could fit into this pipeline.
Great work!
- Protomaps – A free and open source map of the world
- How The Post is replacing Mapbox with open source solutions
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Self-Hosted Vector Tiles
I'm the author of a few of the tools mentioned in this post!
A convenient new development is instead of using tippecanoe -> go-pmtiles to create PMTiles archives, you can now output .pmtiles directly:
tippecanoe -o bks2.pmtiles mainroad.geojson ...
This is available in Tippecanoe (https://github.com/felt/tippecanoe) v2.17 and later.
Thanks to Felt (https://felt.com) for supporting this open source work.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
tippecanoe
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How would you generalize a very high density vector map for various zoom levels ?
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.
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OpenStreepMap 2012 vs. 2022
Take a look at Tippecanoe, which is under active development again[0]. The original developer, Erica Fischer (who is wonderful to work with), has a fork[1] where new work is happening.
[0] https://felt.com/blog/erica-fischer-tippecanoe-at-felt
[1] https://github.com/felt/tippecanoe
https://felt.com/blog/erica-fischer-tippecanoe-at-felt
flatgeobuf
- QGIS is the mapping software you didn't know you needed
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Ask HN: What happened to flatbuffers? Are they being used?
FlatGeoBuf [1] is an encoding for geographic data (vector features, i.e. points lines polygons and so on) written around flatbuffers that is increasingly well supported in geospatial software (GDAL, MapServer) and people reporting some experiments and demos on the @flatgeobuf Twitter.
[1] https://flatgeobuf.org/
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
FlatGeobuf
- flatgeobuf discussion
What are some alternatives?
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
PMTiles - Cloud-optimized + compressed single-file tile archives for vector and raster maps
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet
tilemaker - Make OpenStreetMap vector tiles without the stack
mbtiles-spec - specification documents for the MBTiles tileset format
go-pmtiles - Single-file executable tool for working with PMTiles archives
maputnik - An open source visual editor for the 'MapLibre Style Specification'
com-tiles - Streamable and read optimized file archive for hosting map tiles at global scale on a cloud object storage
osmium-tool - Command line tool for working with OpenStreetMap data based on the Osmium library.
buffer-benchmarks - Benchmarking Protobuf, FlatBuffers, and Cap'n Proto on Go and Rust