AniMove T-Shirts and cups

we updated our AniMove webshop with our new logo. If you like to get some AniMove Tshirts or cups, please have a look here:

AniMove attendees will get anyways some notepads and pens, but maybe you also like to show up in an AniMove Tshirt.


P.S.: this shop is just for fun, prices are the one by spreadshirt, no money is earned by AniMove

moveVis() R package

a first version of the moveVis() R package for animating animal movement tracks with static or dynamic remote sensing data is nearly ready for the CRAN submission. The new package allows to animate your tracks on a blank landscape, a landscape with a static map such as a land cover classification (as seen on the left) or with a dynamic land cover data sets. The dynamic option allows to fit a remote sensing time-series with corresponding landscape information to the movement tracks. This can either be the NDVI or spectral information depending on the data you feed into the command.

The moveVis() R package has been written by Jakob Schwalb-Willmann a M.Sc. student from the EAGLE M.Sc. program.


We will announce when the moveVis() package is available through CRAN and can be installed easily in R. We are in the final stage to submit it to CRAN and will provide you with updates.

attendees for 2017 selected

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 looking forward to our next AniMove and will decide during the next AniMove if and when we will have the next one. Due to the fact that AniMove is a non for profit initiative and all lecturer are not paid for AniMove teaching, we have to find a good balance of AniMove activities and the normal work of our lecturer – hence we decided to organize it just once a year. If you have not received an acceptance letter this time, we encourage you to apply again next time.

Successful AniMove at BIK-F finished

Two intense weeks of AniMove at BIK-F in Frankfurt successfully finished. The highly motivated and skilled attendees from various countries and studying movement patterns of various animals learned a wide range of animal movement analytics as well as spatial data handling and remote sensing. All approaches were explained in detail and all following analysis were done using actual data in an open source environment (R). We are very thankful to Thomas Müller and Chloe Bracis who organised the AniMove this time and we are looking forward to an exiting 2017 with one or more AniMoves! More details about upcoming AniMoves and respective application dates will be posted on our webpage soon. Moreover, we will also update our image galleries for the two AniMoves in 2017 over the christmas break. We hope all attendees apply the learned techniques successfully in their ongoing research and do not hesitate to ask about approaches or problems, especially with R code on your listserv:

AniMove 2017 at BIK-F started


The AniMove at BIK-F in Frankfurt started successfully and will cover a variety of animal movement analysis approaches as well as remote sensing and GIS tasks in the next two weeks.  We are very much looking forward to an exciting time and highly interested and motivated to work on animal tracking data, learn the statistical approaches and combining it with environmental data derived through remote sensing. All tasks will be achieved using Open Source software such as R and QGIS. All attendees will be exposed to lots of R coding in this science school. Evening talks are organized as well and introduce general advances within the AniMove topics.animove_2017_bik-f_frankfurt_2animove_2017_bik-f_frankfurt_1

new publication on interdisciplinary training of remote sensing and movement

Some colleagues also partly related to the ongoing AniMove activities published a great article on “Bridging disciplines with training in remote sensing for animal movement: an attendee perspective”. From the abstract: Remote sensing and animal movement datasets are increasingly used to answer key questions in ecology and conservation. Collecting and accessing this data is becoming ever cheaper and easier, but limited analytical expertise limits its wider use. Working at the interface between these two disciplines is challenging as there are no standard techniques for handling the complex spatial data, so specific and in-depth training is required. Higher education programs rarely cover remote sensing for animal movement, so external courses play a major role in training newcomers and creating a more unified global community. We conducted an online survey to investigate the views of previous attendees of four training courses that involve remote sensing and animal location data. These courses provided subject-specific knowledge, practical and coding skills, networking, collaboration opportunities, insightful discussions and transferable research skills. Our survey highlighted the importance of real-world examples, practical sessions, time for participants to work with their own data, preparatory material and open source software. Despite the value of interdisciplinary training in remote sensing and animal movement, it reaches few ecology and conservation practitioners outside of academia. We advocate more funding for underrepresented participants to attend existing course and the development of new courses.

Clark, B. L., Bevanda, M., Aspillaga, E. and Jørgensen, N. H. (2016), Bridging disciplines with training in remote sensing for animal movement: an attendee perspective. Remote Sens Ecol Conserv. doi:10.1002/rse2.22

new book on animal movement

a new interesting book related to AniMove topics just got published by Arild Gautestad.

from the webpage: How to make sense of animal movement and population dynamics, which typically is influenced by effects of spatial memory and multi-scaled space use? Whether you are studying GPS relocations or estimating population abundance, a realistic model depends on realistic assumptions. In this book you are introduced to a biophysical perspective on animal space use. The presentations include more than 100 illustrations, some basic concepts of statistical mechanics and a range of thought-provoking ideas. Step-by-step the book leads you towards a broadened theoretical toolbox for ecological inference. More details here: