geoparquet
openmaptiles
| geoparquet | openmaptiles | |
|---|---|---|
| 3 | 8 | |
| 723 | 2,298 | |
| 4.1% | 1.6% | |
| 5.5 | 8.1 | |
| 5 days ago | 8 days ago | |
| Python | PLpgSQL | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
openmaptiles
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Fedora 38 Known issues
Openmaptiles uses docker-compose for its work. It fails flat on its face with podman.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
OpenMapTiles
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Headway is a self-hosted alternative to Google Maps which supports 200+ cities across the globe
What is the advantage of this project over something like openmaptiles https://github.com/openmaptiles/openmaptiles
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Show HN: Flatmap – a new tool to create vector tiles from OpenStreetMap data
Flatmap calls into user-defined profiles in 2 places: first when processing each input element to map it to a vector tile feature, then a second time right before emitting all vector features in a layer.
That second call lets you manipulate vector features on each tile using JTS geometry utilities (i.e. merge nearby polygons or lines with the same tags). PostGIS uses GEOS which is ported from JTS so you have access to pretty much the same geometry utilities - often with the same name.
It's definitely not as flexible as a PostGIS based solution - especially if you join faraway features that don't appear on the same tile, but in practice it was enough to port the entire OpenMapTiles schema.
See the basemap layers package: https://github.com/onthegomap/flatmap/tree/main/flatmap-base...
For example see the landcover layer: https://github.com/onthegomap/flatmap/blob/main/flatmap-base...
Which was ported from the SQL contained in: https://github.com/openmaptiles/openmaptiles/tree/master/lay...
Also, this OpenMapTiles PR might help improve your pipeline after it gets merged: https://github.com/openmaptiles/openmaptiles-tools/pull/383
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GraphHopper Routing Engine - Open Source Route Planning
To fully self-host a route planner (e.g. a "Google Maps" equivalent) you need GraphHopper for the routing and two other parts: you also need some visualization aka "maps" (e.g. with OpenMapTiles) and you need the address search (e.g. with Photon).
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parsing Openstreet map layers in python
Probably not the answer you're looking for, but I have been using openmaptiles to pull osm into postgres (in docker using quickstart.sh). If you can talk postgres in python then maybe that is for you?
- A new way to make maps with OpenStreetMap
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.
planetiler - Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
tippecanoe - Build vector tilesets from large collections of GeoJSON features.
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
Leaflet - 🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
postgres_vectorization_test - Vectorized executor to speed up PostgreSQL
TileMaker - A terrain tile mask generator for 3x3 terrain tile sections for game engines.
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
photon - an open source geocoder for openstreetmap data