USBuildingFootprints VS planetiler

I believe you're looking for the microsoft footprints. They're hosted on github as geojsons. You can download individual states and countries. Here's the US: https://github.com/microsoft/USBuildingFootprints

Microsoft is good for building footprints, but a little old. I think that's was Illinois' data is based on.

https://github.com/microsoft/USBuildingFootprints but then combining with some height data : https://www.arcgis.com/home/item.html?id=3b0b8cf27ffb49e2a2c8370f9806f267

bing building footprints: https://github.com/Microsoft/USBuildingFootprints

When looking for some specific features shapefiles like parcels, buildings,..etc. you usually end up with either nothing, partial information (like trying to query building with specific types of stages in OSMNX) or with shapefiles that lack an attribute table ( this link for example you can download buildings foot prints for almost all the cities around the world but the ones in the ME lack attribute table: GitHub - microsoft/USBuildingFootprints: Computer generated building footprints for the United States ).

Simheaven also updated X-America few weeks ago. It now included open source Microsoft Footprint https://github.com/microsoft/USBuildingFootprints

If you just need some building footprints, Microsoft has an open dataset available for download. https://github.com/microsoft/USBuildingFootprints

Worth mentioning this project (https://github.com/onthegomap/planetiler) that lets you create osm mbtiles and pmtiles pretty easy!

For a self-hosted vector tile stack you can have a look into https://github.com/onthegomap/planetiler I found it very easy to get started and when you know the other stacks it is also very fast to create these vector tiles even for planet-scale.

(note, that I'm not affiliated with them, but they use some source code from us for the efficient import and also contributed to GraphHopper, but this did not influence my experience ;) )

> I wonder why so many seem to be moving away from raster tiles to vector data.

The flexibility of styling. And you can easily serve customers that need different default languages. This makes maps also more accessible for countries without Latin alphabet.

I used https://github.com/onthegomap/planetiler and https://download.geofabrik.de, maybe it helps.

I spent a while optimizing sqlite inserts for planetiler, this is what I came up with:

https://github.com/onthegomap/planetiler/blob/db0ab02263baaa...

It batches inserts into bulk statements and is able to do writes in the 500k+ per second range, and reads are 300-400k/s using those settings.

Checkout https://github.com/onthegomap/planetiler.

Super easy way to generate a MBTiles, which you can then serve directly, or further convert to PMTiles, which can be used to host vector tiles for client-side rendering using MapLibre (or other renderers).

Raster tiles are a lot harder because you have to generate them on the server, and that's a lot more resource intensive.

I built planetiler (https://github.com/onthegomap/planetiler) for this purpose. The output up to z14 is ~80gb and depending on how big of a machine you have it takes from 30 minutes up to a few hours - no DB required, just java or docker. If you are only going to z11-12, it should be quite a bit faster/smaller.

Brandon from Protomaps is also helping add pmtiles output natively to planetiler, so you won't need a conversion step afterwards!

It's not raster directly, but you could use planetiler ( https://github.com/onthegomap/planetiler ) to build a full planet vector map . Then you could use something like TileServer-GL to server the vector map with a style. TileServer-gl ( https://github.com/maptiler/tileserver-gl) would provide a raster source that displays in the style you set on your vector map.

I recently left Twitter after 9 years, most recently serving as tech lead for the knowledge graph group (was 45 people). I helped apply the KG to drive a large portion of Twitter’s revenue and new product launches. In my spare time I do data visualization and web mapping, most recently https://github.com/onthegomap/planetiler