mbtiles-spec
geoparquet
| mbtiles-spec | geoparquet | |
|---|---|---|
| 4 | 3 | |
| 587 | 729 | |
| 0.9% | 4.9% | |
| 0.0 | 5.5 | |
| over 4 years ago | 9 days ago | |
| Python | ||
| GNU General Public License v3.0 or later | Apache License 2.0 |
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mbtiles-spec
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Beginner Questions about MapBox GL JS
This is definitely possible. A very common use case is publishing custom vector tiles to Mapbox, but since you want to host the tileset itself on your own server, you can use something like tilelive to do so. It's easy to create your own custom .mbtiles with Mapbox Studio, but it's an open specification, so feel free to create your own from arbitrary geographic data.
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COMTiles (Cloud Optimized Map Tiles) hosted on Amazon S3 and Visualized with MapLibre GL JS
Prepare "MBTiles" to store map tiles built-in SQLite for conversion of COMTiles.
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SQLite 3.39.2
> I once experimented with using SQLite as a file store for small images
Mapbox productionized this with their MBTiles [0] format, to store millions of small vector or raster map tiles in an SQLite database. Much easier to work with than millions of images on disk.
[0]: https://github.com/mapbox/mbtiles-spec
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Serving open street map vector tiles with elixir and phoenix
Some background on mbtiles files from mapbox/mbtiles-spec
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
What are some alternatives?
Leaflet.VectorGrid - Display gridded vector data (sliced GeoJSON or protobuf vector tiles) in Leaflet 1.0.0
odbc2parquet - A command line tool to query an ODBC data source and write the result into a parquet file.
mbutil - Importer and Exporter of MBTiles
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
flatgeobuf - A performant binary encoding for geographic data based on flatbuffers
PMTiles - Cloud-optimized + compressed single-file tile archives for vector and raster maps
postgres_vectorization_test - Vectorized executor to speed up PostgreSQL
tilelive - fast interface to tiles with pluggable backends - NOT ACTIVELY MAINTAINED
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
lambda-tiler - AWS Lambda + rio-tiler to serve tiles from any web hosted files
parquet_fdw - Parquet foreign data wrapper for PostgreSQL