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
Migratory Movement of Turkey Vultures and NDVI, South California, U.S. and Mexico – made with moveVis
Another great animation of animal movement and the corresponding environmental attributes has been done using the moveVis R package (www.moveVis.org) The Turkey Vulture (Cathartes aura) is the most widespread scavenging bird on the american continents, ranging from...
In the framework of the AniMove summer school 2017, the moveVis R package was introduced to the participants, resulting in several likewise interesting and beautiful animal movement animations. The shown animation displays the movement of Procellariiformes near Marion...
The second week of AniMove is full of individual project work with many specific approaches, challenges and obstacles. Many of the learned methods from the last week are now applied to own animal movement data sets and approaches discussed with the AniMove lecturers....
A new R package to ease the analysis of animal movement and remote sensing or any kind of spatial environmental data has been published. The rsMove package so far provides the following functions: Dynamic analysis of environmental change (spatial and temporal) Dynamic...
the moveVis package is on CRAN with new functionality: the corresponding environmental values can be shown for the whole extent, as cumulative values per individual or across the whole group or just the average value of the last n steps to highlight changes in...
The ctmm R package is now available as webapp v0.0.5 beta for use and testing at https://ctmm.shinyapps.io/ctmmweb/ Video tutorials can be found here: https://github.com/ctmm-initiative/ctmm-webapp/blob/master/README-demo.md If you wish to install the app locally...