Gregor Aisch @driven-by-data.net · Feb 27 For the German election we wanted to use a cartogram of German election districts but didn't find anything good, so we created our own. Here's a little nerd thread how the final algorithm worked 🤓 🧵 #gis #cartogram #election #datavis #cartography
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Pretty cool to see the process by which such charts are made
We have one. Maybe for the next elections? www.datajournalism.studio/a/2025-02-28...
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Fixing the outer districts is such a good idea! Thanks so much for sharing. Very clever approach.
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This is great! Is there any reason you can't do this as well for the Zweitstimmen map as well (with the dots for for each district vote shares shaded in the same way as the geographical map)?
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As input for the cartogram we use a pre-projected TopoJSON basemap of election districts with baked-in centroids (inner points). We used Mapshaper to generate the file.
Toll, dass sich das weiterentwickelt mit der Diskussion um die letzten Wahlen! Auch nicht schlecht: die Realität ist diverser.
Really interesting process. Thanks for sharing!
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Lovely work!
Very nice work :). Thank you so much!
Cheers. To see this visualisation for the second party would also be of interest.
As a layman in geovisualisation i was thinking about doing something similar as a hobby project, but projecting onto a rectangular grid. Instead of forces I'd try to do some combinatorial optimization with a "distance from geographical position" term, very similarly to this approach. Inspiration: