Is it possible and easy to implement the use of created layers as context maps behind a plot in Python?
A common use case for GIS and Python users is to render static maps with interest data in matplotlib (usually together with geopandas or shapely).
There's a Python library, contextily, that already does this with ready-made and publicly available tile sets. However, there are two issues with it:
- For zoom levels beyond the maximum available, the rasterized image becomes pixelated.
- It lacks the ability to customize the style with the richness offered by your library.
I really like this project and what it is able to accomplish.
Is it possible and easy to implement the use of created layers as context maps behind a plot in Python?
A common use case for GIS and Python users is to render static maps with interest data in
matplotlib(usually together withgeopandasorshapely).There's a Python library,
contextily, that already does this with ready-made and publicly available tile sets. However, there are two issues with it:I really like this project and what it is able to accomplish.