Quelle: Openstreetmap (geofabrik.de aktuellste pbf)
Tools: Python mit verschiedenen Bibliotheken (mit etwas Gemini-Hilfe)
Wahrscheinlich sind Bereiche mit intensiverer Bearbeitung natürlich überrepräsentiert. Es bündelt Ladepunkte im Umkreis von 50 Metern vor der Zählung zu einem Hub.
Bearbeiten: https://en.wikipedia.org/wiki/Goode_homolosine_projection
Von Mirar
12 Kommentare
How come India has more than China?
For the automod:
Source: Openstreetmap (geofabrik.de „latest“ pbf end of January 2026)
Tools: Python with various libraries (with some Gemini help)
China must be missing data?
Ok, who is trying to write something in Australia? P?
Honestly wild how the map looks like the future already happened in some places… and never showed up in others.
I feel like China has to be under represented in the dataset. They invest a lot into the EV market and considering their population I would expect way way more charging stations there.
China has one of the densest EV charging hub networks in the whole world.
China has the 2nd highest EV charging stations per EV vehicle in the world. This map can’t be right.
Kinda fun to see almost entire Kerala lit up here. We love EVs.
People forget that there is very strict limitations in who can work and store geospatial data in China. So it’s obvious that data is not represented correctly for this region with rest of world OSM 😉
Source: someone working in automotive with Chinese map data content providers 😀
I suspect that data for Bolivia is not correct.
The data of Bolivian is absolutely fake, even in the huge salt deserts it is showing a bunch of them