Geographic Data Science with PySAL2.0: a taster
This repository contains materials for the masterclass delivered by Dani Arribas-Bel at the Universidad Complutense de Madrid in February'19, hosted by t-GIS.
The structure of the
pack folder is as follows:
data: local copies of the data required for the session
notebooks: Jupyter notebook files with code, output and (a bit of) narrative
html: HTML versions of each Jupyter notebook
figs: images embedded in the notebooks
Geographic Data Science with PySAL2.0: a taster by Dani Arribas-Bel is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.