Computational Movement Analysis: Patterns and Trends in Environmental Data

Welcome to the course!

For the practical part of the course, building-up skills for analysing movement data in the software environment R, you’ll be using data from the ZHAW project “Prävention von Wildschweinschäden in der Landwirtschaft”.

The project investigates the spatiotemporal movement patterns of wild boar (Sus scrofa) in agricultural landscapes. We will study the trajectories of these wild boar, practising the most basic analysis tasks of Computational Movement Analysis (CMA).

This video gives a nice introduction into the project

License

These R Exercises are created by Patrick Laube, Nils Ratnaweera, Nikolaos Bakogiannis and Dominic Lüönd for the Course Computational Movement Analysis and are licensed under Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons Attribution 4.0 International License.