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

Great maps! But I think something is missing on this, temperatures are too high... Maybe it's the temperature of the air in those locations? Maybe the mean, not minimum?


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