geoparquet
PMTiles
geoparquet | PMTiles | |
---|---|---|
3 | 17 | |
723 | 1,673 | |
4.1% | 2.7% | |
5.5 | 8.6 | |
5 days ago | 12 days ago | |
Python | TypeScript | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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geoparquet
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Friends don't let friends export to CSV
That's why I'm working on the GeoParquet spec [0]! It gives you both compression-by-default and super fast reads and writes! So it's usually as small as gzipped CSV, if not smaller, while being faster to read and write than GeoPackage.
Try using `GeoDataFrame.to_parquet` and `GeoPandas.read_parquet`
[0]: https://github.com/opengeospatial/geoparquet
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
GeoParquet
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Postgres and Parquet in the Data Lke
> "Generating Parquet"
It is also useful for moving data from Postgres to BigQuery! ( batch load )
https://cloud.google.com/bigquery/docs/loading-data-cloud-st...
Thanks for the "ogr2ogr" trick! :-)
I hope the next blog post will be about GeoParquet and storing complex geometries in parquet format :-)
https://github.com/opengeospatial/geoparquet
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?
mbtiles-spec - specification documents for the MBTiles tileset format
tilemaker - Make OpenStreetMap vector tiles without the stack
odbc2parquet - A command line tool to query an ODBC data source and write the result into a parquet file.
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
mod_mbtiles - Serve tiles with Apache directly from an .mbtiles file
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
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.
postgres_vectorization_test - Vectorized executor to speed up PostgreSQL
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
openmaptiles - OpenMapTiles Vector Tile Schema Implementation