Recommended Resources

If you wish to take a deeper dive into geospatial analysis we recommend the following resources.

Python Basics

• Python Tutorials from W3 Schools
• Python Basics from GeeksforGeeks
• Introduction to Pandas & Documentation - introducing data analysis with Python

QGIS

• QGIS 3.10 Documentation and Training
• PyQGIS Developer Cookbook
• Beginner’s Guide to Python in QGIS from Mapscaping

Geospatial Analysis in R

• Geocomputation with R by Robin Lovelace, Jakub Nowosad and Jannes Muenchow
• Spatial Point Patterns: Methology and Applications with R by Adrian Baddeley, Ege Rubak and Rolf Turner
• Appendix in Introduction to GIS and Spatial Analysis by Manuel Gimond
• An Introduction to Spatial Data Analysis and Visualisation in R from the Consumer Data Research Centre

Geospatial Analysis in Python

• Geographic Data Science by Dani Arribas-Bel
• Geographic Data Science with PySAL and the PyData Stack by Sergio Rey, Dani Arribas-Bel and Levi Wolf
• ArcGIS API for Python
• Introduction to GeoPandas & Documentation