Geocomputation and Visualisation in R


16, 18, 20, 24 and 26 May 2022

Due to the COVID-19 outbreak, this course will be held online


Course Overview

This course will provide an introduction to geocompuation and visualizing geographic data through a combination of lectures covering theoretical topics and hands-on exercises. We will only slightly touch spatial analysis and mainly focus on what comes before that - what is spatial data and how to deal with it. From reading the data to making beautiful maps. The first three days will cover an introduction to geocomputation, handling spatial data, as well as applying basic operations. The next two dates will focus on visualizing geodata with ggplot2 and other packages.


This course is designed for researchers and graduate students with an interest in geocomputation. We will provide theoretical lectures and hands-on exercises.



Assumed background

The participants should have some basic background in R. During the workshop, we will work with the RStudio IDE.

Session content


Monday  - 16th May - 15:00 - 19:00 (Berlin time): live lectures and introduction to / review of the practicals


4 additional hours: self-guided practicals using annotated scripts, with live remote support between sessions



  • Geocomputation introduction
  • Why R?


    • … other tools
    • R’s spatial ecosystem
  • Geographic data in R
    • Vector
    • Raster
    • Misc.
  • Geographical foundations
    • CRS
  • Basic data operations
    • Sneak peak your data (plot)
    • Subsetting spatial data
    • Aggregating and Disaggregating spatial data
    • Summarizing objects




Package 1

450 €






Cancellation Policy:


> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.


Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.