AniMove Summer School

12th to 23rd of September 2022

AniMove courses are focused on the use of remote sensing and animal movement for conservation based on open source software entirely. The combination of animal movement and environmental information in which these movements have been recorded are essential for the field of movement ecology and have often implications for conservation and management. The volume and structure of both sources of data require knowledge on working with spatio-temporal data and the underlying pitfalls such as projections, time zones, autocorrelation etc. represent some of the challenges when working with them. In this course the programming language R will be used to do most data manipulation, visualisation and analysis. The course is centered around on-hands working on own data sets.

The first week is more teaching heavy, to bring all the participants up to the same level, while the second week is focusing on working on the data sets that the participants have brought along to work with. An advanced to very advanced programming skill level in R is required from the participants.

AniMove is a non-profit training initiative run by volunteers of various organisations such as MPI, JMU, SCBI or BIK-F.

Accommodation is multiple occupancy (max. 2 people) in single sex rooms at the Max Planck Guesthouse walking distance to the Max Planck Institute for Animal Behavior in Möggingen (Radolfzell). Arrival on Sunday, Sept 11th and departure on Saturday 24th

Full board package includes course fees, accomodation, breakfast, lunch, dinner coffee/tea, snacks, and refreshments for the two weeks excl. parts of the weekend. Also included, Welcome dinner on the 11th of September and a Farewell dinner on the 23rd of September.

Recommended for 
PhD, PostDoc, Professionals

Course Content
Remote sensing, Movement Ecology, Movement analysis, continuous time movement models, Segmentation, GPS logger data manipulation, raster data classification, visualisation of movement and environmental data

Total teaching hours 
(including lectures, seminars and independent work) amounts to 120 hours


How to find us

If you are arriving by plane, Zurich (Switzerland) is the nearest airport. You will then need to travel on from there to Konstanz and/or Radolfzell (Germany). At the airport, just follow the signs to the train station in the basement and there you will get to the ticket machines. You will need a ticket before going down to the platforms. There are direct connections to Konstanz or Radolfzell via Schaffhausen. Tickets can also be bought via the SBB app. 

When you arrive at Radolfzell station, you need to look for the bus station, which is on the right as you leave the station towards the town. Bus line 6 will take you to Mögginger Rathaus. When you get out of the bus you cross the road and walk towards where the bus continued on. You will see the institute on the right hand side a little bit out of the town.

By Train:  Radolfzell Station
By Bus:  The city bus leaves Radolfzell train station every hour at 25 past the hour for Möggingen (No.6)


COMING SOON! As part of our AniMove e-learning programme, we will record this years AniMove lectures. The lectures will be available in October.

Research Data Management

Our Lecturers And Affiliations


  • Martin Wegmann, University of Würzburg
  • Anne Scharf, Max Planck Institute of Animal Behavior and University of Konstanz
  • Martina Scacco, Max Planck Institute of Animal Behavior and University of Konstanz
  • Benjamin Leutner, German Aerospace Center (DLR)
  • Chris Flemming, Smithsonian Conservation Biology Institute and University of Maryland
  • Björn Reineking, Université Grenoble Alpes, INRAe, LESSEM
  • Thomas Mueller, Senckenberg Research Institute
  • Justin Calabrese, CASUS Helmholtz-Zentrum Dresden-Rossendorf e.V. (HZDR)
  • Kamran Safi, Max Planck Institute of Animal Behavior and University of Konstanz
  • Chloe Bracis, Université Grenoble Alpes
  • Michael Noonan, Smithsonian-Mason School of Conservation & University of British Columbia
  • Jakob Schwalb-Willmann, University of Würzburg and German Aerospace Center (DLR)
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