Learn how to analyze animal movement data.
Combine animal movement information and remotely sensed environmental data
Two weeks science school with courses and working on own projects
Only open-source software will be used and all materials shared with the participants
Apply different analysis
understand movement patterns and driving factors
What We Offer.
We offer two weeks of intensive course and project work to learn how to analyze animal movement data and combine it with remote sensing environmental data.
AniMove is a collective of international researchers with extensive experience in the topics of animal movement analysis, remote sensing and/or conservation. It is a two-week intensive training course for studying animal movement in conjunction with environmental parameters derived from remote sensing for conservation application. AniMove is a non-profit training initiative run by volunteers of various organisations such as MPI, JMU, SCBI or BIK-F.
- 100% Open Source 100%
- 100% Applied Research School 100%
- 100% Interaction 100%
maximum number of participants
we are happy to announce the release of the R package "moveVis" for animal movement visualization. Beside the simple animation of movement path also static or dynamic remote sensing data can be included to visualize the dependencies of movement and environmental...
We received again many very good applications for AniMove 2017 at MPI but unfortunately we can only host 20 participants. The AniMove core team worked through all applications and selected the top 20 applicants. All applicants are informed about the outcome. We are...
If you are interested to learn how to analyze animal movement patterns, combine it with remote sensing data and apply it within ecology and conservation, please apply at the latest on Friday for our AniMove summerschool in August/September 2017. Please see here for...
The continuous-time movement modeling (ctmm) R package (https://cran.r-project.org/web/packages/ctmm/index.html) now has a dedicated Google groups user site, which can be found here: https://groups.google.com/forum/#!forum/ctmm-user We encourage ctmm users to post...