tippecanoe
PMTiles
tippecanoe | PMTiles | |
---|---|---|
7 | 17 | |
772 | 1,663 | |
5.2% | 2.2% | |
8.0 | 8.6 | |
24 days ago | 6 days ago | |
C++ | TypeScript | |
BSD 2-clause "Simplified" License | BSD 3-clause "New" or "Revised" 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
PMTiles
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Anatomy of a MapServer: how to leverage and visualize your geographical data
I am a novice at GIS and mapping but when I got started I thought a map/tile server was the only way to build mapping webapps.
But, in my admittedly simple application PMTiles can cover a lot of my visualization use cases with a thing Django app doing GEOJson for interactive stuff.
https://github.com/protomaps/PMTiles
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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!
- Serve Maps From S3: Compressed single-file tiles for vector and raster maps
- Made an interactive bike map of my city using OSM data
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Serverless maps at 1/700 the cost of Google Maps API
The thing being discussed is designed for cloud, so I think self managed is a better description?
https://protomaps.com/docs/cdn
Self hosting pmtiles is straightforward also, make a file available to a server that supports range requests:
https://protomaps.com/docs/pmtiles#2.-serve-your-file-locall...
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How The Post is replacing Mapbox with open source solutions
It might've just been this: https://github.com/protomaps/PMTiles/tree/main/serverless/aws
There isn't a tool to do that right now. It could be a fit in either https://github.com/protomaps/go-pmtiles or https://github.com/protomaps/PMTiles/tree/main/python - the Go program is faster and more production ready at this point. I imagine if folders are working for you the quantity of tiles doesn't number into the millions, so the Python program might be sufficient.
Feel free to open an issue.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
PMTiles
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Host your own OpenStreetMap Map Tiles
For the next revision of the JS decoder I'm including `fflate` as a dependency so clients can decompress gzipped tile data using JavaScript.
https://github.com/protomaps/PMTiles/blob/master/js/package....
- PMTiles: Cloud-optimized, single-file map tile archives – Python+JS
What are some alternatives?
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
tilemaker - Make OpenStreetMap vector tiles without the stack
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
mod_mbtiles - Serve tiles with Apache directly from an .mbtiles file
go-pmtiles - Single-file executable tool for working with PMTiles archives
TileServer GL - Vector and raster maps with GL styles. Server side rendering by MapLibre GL Native. Map tile server for MapLibre GL JS, Android, iOS, Leaflet, OpenLayers, GIS via WMTS, etc.
maputnik - An open source visual editor for the 'MapLibre Style Specification'
osmium-tool - Command line tool for working with OpenStreetMap data based on the Osmium library.
openmaptiles - OpenMapTiles Vector Tile Schema Implementation