Analysis of Animal Movement Data in R


24-28 January 2022


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


Course overview

This course will provide a guide to analyse telemetry data from animals, from explorative data, through simulating space use from fitted integrated step selection functions.

Course Format

There will be several opportunities to introduce, discuss and use your own data. The course will consist of brief lectures to introduce a topic, guided coding sessions and independent exercises with the opportunity to discuss questions with the instructors.


We assume some basic awareness of statistical analysis (linear modelling, etc), as well as some experience with code for data analysis with program R.



Monday– Classes from 2-8 PM Berlin time

- Exploratory data analysis for movement data

- Quantifying space use of animals with home ranges

Tuesday– Classes from 2-8 PM Berlin time

- Continuous time movement models (CRAWL)

- Identifying different behavioral states in movement data

Wednesday– Classes from 2-8 PM Berlin time

- Introduction to habitat selection (RSF)

- Integrated step selection functions (iSSF) - part1


Thursday– Classes from 2-8 PM Berlin time

- Integrated step selection functions- part2

- Strategies to model multiple animals

Friday– Classes from 2-8 PM Berlin time

- Validation of models for habitat selection

- Simulations from fitted iSSF





Cost overview

Should you have any further questions, please send an email to

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.