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#mapstodon

9 posts9 participants0 posts today

Experimenting with showing custom icons for stations. Inspired a bit from our highway shield rendered (derived from OpenStreetMap Americana)

gitlab.gnome.org/GNOME/gnome-m

It's making use of the "network:wikidata" OSM tag.

Currently rendering these icons in map view itself is not tested (this needs an extra addition to our planetiler generator for the vector tiles to be run in the next import).

I ask this periodically, but: Has anyone made an updated version of this detailed 1970s-era USGS map that includes both Alaska and Hawaii in their correct position?

I own one (the USGS used to sell it — not sure if they still do), but I keep wondering if anyone has updated it. #Mapstodon

watching @nakaner 's talk on completing #OpenStreetMap tags like surface=* I'm thinking about more goal directed ways.

Idea for surface=* tags

1. Use a routing engine such as osrm, remove all surface tags from ways, and compute many alternative routes between cities on that

2. For all alternative routes make sure that the osm ways all have surface tags on them

This approach gives us a heuristic for prioritizing completing the map where it matters most.

Dear #mapstodon community, we are moving! 📦💼

We have made the difficult decision to move our account to another fediverse instance, in order to better comply with our data protection regulations.
But we do love this map-loving community and we hope not to loose any contacts!

If you want to stay in touch and keep seeing our posts, follow us here: @heigit@mastodon.social

Done mapping all 40 #barangays of Luna, La Union, #Philippines 🇵🇭 in #OpenStreetMap, creating their #Wikidata items, and linking the two with each other.

A huge thanks to JR Dizon of the Luna Municipal Planning and Development Office for the boundary data. 🙏

Wanna play around? Here is the Overpass Turbo query: overpass-turbo.eu/s/21s0

And here is the Wikidata Query Service (WDQS) query: w.wiki/DfYz

Previously: en.osm.town/@seav/114092122864

Love @fil’s idea of “slow cartography” when it comes to making maps and visualizations. Our digital tools certainly enable a lot of things that were extremely difficult or not possible with map making previously, but due to the pace and cost of industrialization it often means the quality or depth of the work is lacking or overlooking something of importance.

#maps #mapstodon #tech #geo #gis

observablehq.com/blog/maps-and

Observable · We can always talk about mapsFil Rivière, Data Visualization Engineer at Observable, describes his path into data visualization, what he likes in a map, what’s hard about mapmaking, and why he’s asking if we need a “slow cartography movement.”