Here is a thread of #maps of Colombia. Forests 1/13

PythonMaps's tweet image. Here is a thread of #maps of Colombia. 
Forests 1/13

Rivers 2/13

PythonMaps's tweet image. Rivers 2/13

River temperature 3/13

PythonMaps's tweet image. River temperature 3/13

Grasslands 4/13

PythonMaps's tweet image. Grasslands 4/13

Pastures 5/13

PythonMaps's tweet image. Pastures 5/13

Evapotranspiration 6/13

PythonMaps's tweet image. Evapotranspiration 6/13

Precipitation 7/13

PythonMaps's tweet image. Precipitation 7/13

Topography 8/13

PythonMaps's tweet image. Topography 8/13

Croplands 9/13 - Surprised by how sparse this is. Presumably this dataset is limited to "legal" crops.

PythonMaps's tweet image. Croplands 9/13 - Surprised by how sparse this is. Presumably this dataset is limited to "legal" crops.

Population 10/13

PythonMaps's tweet image. Population 10/13

Roads 11/13

PythonMaps's tweet image. Roads 11/13

Human Impact - 12/13

PythonMaps's tweet image. Human Impact - 12/13

Livestock 13/13

PythonMaps's tweet image. Livestock 13/13

Doing the forest colors like this (and never budging) is definitely a good strategy to get some extra engagement


Shouldn’t be better with opposite colors?


No. Dark to light on a dark background.


Color palette is backwards!


Nope. Dark to light on a dark background.


Definitely the color bar is backwards. And no, even if the background is dark, that palette ain’t make sense.


Nah, you just need to was the colorbar. Pretty simple to decipher


Everyone talking about colours, who cares. As Colombian I only say thanks!!!!. These maps are beautiful.


Que clase de mapa pone verde donde NO hay arboles


I think you must return to conventional colours, dark green is symbol of deep forests in Amazon basin not the yellowish green. Often have trouble to learn your maps.


You’re welcome.

Kuasi2038's tweet image. You’re welcome.

Pensé que era una hoja de lechuga


Personas(?) con toc en 3...2...1...


Great maps!! It'd be great to show the different biomes in green and not the other way. Culturally and instictively our eyes realte green with vegetation cover, for scientific dissemination of info to the public, it's a bit of a drawback.


Nice. Do you have any repo with the datasets? Or more details of the sources where do you get the information. Thanks


I'm surprised to see that the northern parts are the ones with the most forests.


Makes me wonder which relation is more dominant: A. Precitipation and rivers (water source) B. Precitipation and height (rivers naturally in low lying areas) All connected I suppose.


These are amazing! Do you share your datasets?


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