Geographic data science, 2016 edition
![ENVS363/563](/media/livacuk/gdsl/images/Untitled-1.jpg)
As part of the Geography and MSc in Geographic Data Science at the University of Liverpool, this is the second year I’ve delivered the course “Geographic Data Science” (GDS), a general overview to the key GDS methods with a hands-on focus taught in Python (and, of course, PySAL). This is great fun to teach and, as a bonus, at the end of the course, I get to refine the course website, release it under an open license, and assign it a DOI so it is citable. This year’s edition is here:
Compared to last year’s, this has been much polished and refined. This means the course offers not only a solid methods overview but also an up to date view of the Pydata stack for geospatial data, including libraries such as geopandas, scikit-learn, or PySAL.
Jump in and give it a go and, if you find any problem, feel free to open an issue!