each region contains a million people, to within 5% of the last census or government published estimate.
i drew the lines trying to respect
* 1 million people * linguistic boundaries * mountain ranges * existing political borders * historical political borders * rivers * urban/rural divide
in roughly this order.
the colors don’t strictly mean anything, they were mostly just what i thought would look nice, but i also tried to make these line up with colors that have been associated with these regions, or colors from eu4.
and for the names, i tried to draw on a mix of cities, historical region names, mountain ranges, and rivers, depending on what i thought was closest to a shared characteristic of the whole region.
the little + symbols are what i thought could be hypothetical capital cities.
i used asesprite to draw. i used [citypopulation.de](http://citypopulation.de) for convenient access to subdivision census data. i used geopandas and simplemaps to draw coastlines and place cities.
feedback is welcomed! please let me know if you think i messed up where you live
note: ukraine uses pre-war population estimates because there haven’t been any estimates since. this means some ukrainian refugees and migrants are double counted in countries that have had censuses in the past 2 years.
![Europe divided into regions of 1 million people [OC]](https://www.europesays.com/wp-content/uploads/2024/10/2nty259opkxd1.png)
6 comments
higher res image! : [i.imgur.com/xS5SbQ7.png](http://i.imgur.com/xS5SbQ7.png)
each region contains a million people, to within 5% of the last census or government published estimate.
i drew the lines trying to respect
* 1 million people
* linguistic boundaries
* mountain ranges
* existing political borders
* historical political borders
* rivers
* urban/rural divide
in roughly this order.
the colors don’t strictly mean anything, they were mostly just what i thought would look nice, but i also tried to make these line up with colors that have been associated with these regions, or colors from eu4.
and for the names, i tried to draw on a mix of cities, historical region names, mountain ranges, and rivers, depending on what i thought was closest to a shared characteristic of the whole region.
the little + symbols are what i thought could be hypothetical capital cities.
i used asesprite to draw. i used [citypopulation.de](http://citypopulation.de) for convenient access to subdivision census data. i used geopandas and simplemaps to draw coastlines and place cities.
feedback is welcomed! please let me know if you think i messed up where you live
note: ukraine uses pre-war population estimates because there haven’t been any estimates since. this means some ukrainian refugees and migrants are double counted in countries that have had censuses in the past 2 years.
also check out my last map with the whole world into regions of 10 million: [https://www.reddit.com/r/dataisbeautiful/comments/1e339nf/the_world_divided_into_804_zones_of_10_million/](https://www.reddit.com/r/dataisbeautiful/comments/1e339nf/the_world_divided_into_804_zones_of_10_million/)
What was your way to go to split large cities like Paris, London and Berlin? Also, into how many sectors did you divide Berlin?
How would this look like with a 10 million division?
Awesome 🙂 looks like a ton of work
Is there some historical event that caused people to view each other so angrily?
I digg it mang, very neatly done !!
^(thanks for the highreslink)
Comments are closed.