This is ongoing work developing tiled geospatial data layers for symbolisation of complex multi-attribute choropleths.
A working version is available in python using geopandas and shapely. The python source is in the weavingspace folder. It can be installed from PyPI using
python3 -m pip install weavingspace
The API is documented here, and there are several example notebooks that will give a good idea of how to use the code in the examples folder. In particular, have a look at the Using the library notebook.
The kind of things we can make are:
An overview of the concepts assembled from early proof-of-concept R code is on this webpage. A similar follow-up talk is available here. Slides from a more recent talk explaining the work, extended to tiled maps (of which woven maps are a special case) is available here.
Any of the notebooks in the examples folder may be of interest. Some background material and thinking about tiling is in these notes and these reflections on the state of the code.