
This visualization compares how diverse national climates are based on the number of unique Köppen–Geiger climate sub-types per 10,000 km².
Posted by markarmenia

This visualization compares how diverse national climates are based on the number of unique Köppen–Geiger climate sub-types per 10,000 km².
Posted by markarmenia
12 comments
Sources: Köppen–Geiger (Beck et al. (2023), CMIP6 1991–2020)
https://www.gloh2o.org/koppen/
World Bank AG.LND.TOTL.K2 (2022)
https://data.worldbank.org/indicator/AG.LND.TOTL.K2
Tools: Processed with Python (Pandas, Rasterio, GeoPandas) and visualized with React + TailwindCSS.
What are the middle bubbles? A legend or list of types would help.
This seems to unfairly bias small countries, but maybe that’s the point?
That is not very good way to visualize it, as the divisor makes a country with 1 climate type and small area, appear more diverse than a country with 10 types but 100x the size.
That’s a cool statistic and I’m sure I will reference this to many people but…
New Caledonia is bigger than Jamaica, Montenegro or Lebanon??? I knew that it’s one of the bigger Pacific Islands but damn
Is having different types of climates the same as having different biomes in a country?
I’m sorry but how France is not making the list ?
EDIT : Should be “territories” and not “countries” just a typo then
Shouldn’t Vatican be on top with 22700 climate sub-types / 10k km^2
A country of only 100k sqm (e.g. South Korea) would need to have every single climate in the classification to make even the bottom of this list.
This is basically just “tiny countries with mountains”
If Big Island (Hawaii) were its own country, would it lead the list?
Subtropical highlands are just remarkable
Here is a suggestion that might address some of the comments. Create a list that shows the smallest country with 2 climate types, smallest with 3, smallest with 4, and so on.
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