geoparquet VS tilemaker

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

GeoParquet

> "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

You can download an extract of your country from Geofabrik, run it through Tilemaker (https://github.com/systemed/tilemaker) to get a nice mbtiles file, and then use the built-in Ruby server to give you something you can load in your web-browser locally.

I ran into this solution last week on HN and decided to give it a try. The pipeline that got me up and running was geofabrik osm.pbf[0] downloads, pass those into tilemaker[1] to create mbtiles, and then pass those into pmtiles[2] to make the pmtiles.

[0]: https://download.geofabrik.de/index.html

[1]: https://github.com/systemed/tilemaker

[2]: https://github.com/protomaps/PMTiles

Tilemaker

If you do vector tiles instead of raster, you could use tilemaker: https://github.com/systemed/tilemaker

Try to convert by GDAL files from geofabrik, ogr2ogr make my laptop hurt, but not tiles. Found tilemaker, looks better, but i get only markers, not images.

MBTiles is also a format that is supported more and more, something like tilemaker can help you with that. https://github.com/systemed/tilemaker

I'm trying to build offline maps for my app and I've figured out the app part. Now all thats left is getting the MBTiles file for all regions of the world and host it on my own somewhere. I tried to generate these files myself using [tilemaker](https://github.com/systemed/tilemaker) but I soon realised that with my limited computing power it would take forever to process 50GB worth of files for the entire planet.