GIS PhD course

R Resources Ideally you should stick to one language and do everything - from cleaning data or solving a model numerically to (spatial) data analysis/econometrics - therein in order to reduce frictions and avoid copying around intermediate results. I am going to show you how to do this in R. Here is a good cross-language introductory programmers guide that is worth having a look at: Ristovska - Coding for Economists.

GIS Tools Laboratory

Downloads GIS files City Data Roman Roads Roman Roads reproj Natural Earth Collected PyQGIS/Python3 scripts containing: 10min dive into Python Network Analysis Network Analysis automation Slides Some Useful Resources Intro to GIS and Spatial Analysis by Mainuel Gimond is a very good, cross-platform treatment that for sure will be of help when it comes to clarifying certain concepts. QGIS Tutorials and Tips is a very good resources (attention: QGIS2, but for the most common tasks nothing changed).