2026-10-13 –, Inspire
One of the Open Source advantages is the ease of combining tools that perhaps initially were quite separate. In this workshop you will learn the various ways that QGIS and R can work together to apply statistical methods to your GIS or add GIS methods to your statistics.
After an introduction into how these two systems can integrate on different levels, we'll demonstrate the packages and plugins that allow users to quickly work across the two applications. This includes running QGIS processing algorithms from R, and calling R code from QGIS, making the workshop useful for people who consider themselves primarily either QGIS users or R users.
A number of practical exercises will be prepared for attendees to work through with help and guidance.
For those who don't know any R, or even have never used it, exercises will include complete R code files which we'll show how to add to QGIS to enhance its processing capabilities.
For R coders, exercises will also cover the R qgisprocess package enabling QGIS algorithms to run from R, and also the R Console plugin which runs R within a QGIS window.
Attendees are encouraged to bring their own data and problems which we can either work through as a class or one-to-one with the workshop team.
I'm a free-roaming geospatial data scientist with over 30 years experience in academic research, teaching GIS and spatial statistics and using them in epidemiological and health applications.
I deliver GIS training sessions and GIS consultancy for a variety of clients, primarily focused in the academic and not for profit sectors.
I help people make use of GIS to answer their research questions, and get more answers from the data they already have.