symmy546
symmy546 OP t1_j6squ58 wrote
Reply to Rivers of the World! coloured according to the major hydrological basins they are part of. [OC] by symmy546
Feel free to follow the PythonMaps project on twitter - https://twitter.com/PythonMaps
The map was generated with matplotlib, numpy and geopandas.
Data comes from https://www.hydrosheds.org/ and K. Andreadis, G. Schumann, and T. Pavelsky, A simple global river bankfull width and depth database, Water Resour.Res., in review.
symmy546 OP t1_j46nnym wrote
Reply to comment by djryanash in South American Forests [OC] by symmy546
No. Matplotlib
symmy546 OP t1_j42u79r wrote
Reply to comment by Kawhi_Leonard_ in South American Forests [OC] by symmy546
Bad practice...... Says who?
symmy546 OP t1_j42s87j wrote
Reply to comment by Kawhi_Leonard_ in South American Forests [OC] by symmy546
Kind of the point
symmy546 OP t1_j42bo00 wrote
Reply to South American Forests [OC] by symmy546
The data comes from the following citation, "Geospatial Information Authority of Japan, Chiba University and collaborating organizations" GS
Map was plotted with Python (obvs) using matplotlib, numpy and geopandas.
Feel free to follow the PythonMaps project on twitter - https://twitter.com/PythonMap
symmy546 OP t1_j2dge8u wrote
Reply to comment by uselessadjective in Contour Map of the Sub Continent [OC] by symmy546
It's a contour map. There is no white
symmy546 OP t1_j28psas wrote
Reply to Contour Map of the Sub Continent [OC] by symmy546
The map was made with Python using rasterio to read the data and earthpy/matplotlib to plot the data.
Data source - GMTED2010
Please support the PythonMaps project on twitter - https://twitter.com/PythonMaps
symmy546 OP t1_irfbgup wrote
Feel free to follow the PythonMaps project on twitter - https://twitter.com/PythonMaps or visit our website https://www.pythonmaps.com/
The map was generated with matplotlib, numpy and geopandas.
Data comes from OSM
symmy546 OP t1_jax8236 wrote
Reply to Bolivian Forests [OC] by symmy546
The data comes from the following citation, "Geospatial Information Authority of Japan, Chiba University and collaborating organizations" GS
Map was plotted with Python (obvs) using matplotlib, numpy and geopandas.
Feel free to follow the PythonMaps project on twitter - https://twitter.com/PythonMaps