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Animal Movement Data Analysis

 

 

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Countdown to next AniMove on September 12th

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Year of the first AniMove Training

The next training is fully booked but you can apply for the Waitlist

Watch an Animal Movement Animation using our MoveVis R package

Max. Participants per course

News

Next AniMove 2022

Next AniMove course will take place from the 12th until the 23rd of September 2022 at the Max Planck Institute of Animal Behavior in Radolfzell, Germany.  

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AniMove 2022

Nestled in the heart of Europe, Constance sits on the pebble shores of the Bodensee (known as Lake Constance in English). You’re surrounded by the best Europe has to offer: it’s two hours from Munich’s Oktoberfest beer gardens (on during AniMove), three hours from Italy and walking distance from Switzerland. Getting here is also easy: it’s a one hour train ride from Zurich Airport or two hours from Stuttgart.

Improve your skills

2 weeks of intense training

The 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.

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

Our Lecturer And Affiliation

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

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