OpenTopoMap VS planetiler

Have been using https://opentopomap.org for this for a while, and depending on what you're looking for it still has some advantages: does show the numbers on all height lines (osm only does the 50m one in my area for some reason, leaving you to guess whether the next one is 40m or 60m since that is not always obvious - seems like a key thing for a topographic map), does show the house numbers.

For example OpenTopoMap looks very similar to most maps that were in my school atlas. I like the MapTiler renderings too.

https://brouter.damsy.net/ The topo map is provided by https://opentopomap.org/ Alternatively, if you have an OSM account, you can go into edit mode on OSM website and drag GPX traces into the window to display them. You can't get elevation profile this way but you can use topographic map background or a better range of satellite imagery, and you can use Bing imagery without an API key.

The chances of the problem not having being already tackled with deterministic algorithms is the thinnest - and in fact, yes, there do exist tools, as expected.

See the sections about 'hillshade' at the OpenTopoMap "from scratch" instructions, at https://github.com/der-stefan/OpenTopoMap/blob/master/mapnik...

I have generated and hosted locally an instance of OpenTopoMap covering South America. Now I want to create a set of MBTiles for each individual country. Using the Raster tools -> Generate XYZ tiles (MBTiles) I can do that for a rectangular extent (drawn on map or calculated from layer). Can I do it for an irregular shape? I downloaded a .shp file for Argentina, for example - https://i.imgur.com/3IGJ88A.png

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