AniMove summer school in 2017
August 27th – September 9th, 2017, MPI Radolfzell, Germany
about AniMove: Animal Movement Analysis summer school is offered as a two-week professional training course, that targets students, researchers and conservation practitioners that have collected animal relocation data and want to learn how to analyze these data. Course participants will have the opportunity to apply learned techniques to their own data during the course.
Animal movement is critical for maintenance of ecosystem services and biodiversity. The study of complex movement patterns and of the factors that control such patterns is essential to inform conservation research and environmental management. Technological advances have greatly increased our ability to track, study, and manage animal movements. But analyzing and contextualizing vast amounts of tracking data can present scientific, computational, and technical challenges that require scientists and practitioners to master new skills from a wide range of computational disciplines.
AniMove, a collective of international researchers with extensive experience in these topics, teaches a two-week intensive non-profit training course for studying animal movement. This two-week course focuses on interdisciplinary approaches linking animal movement with environmental factors to address challenging theoretical and applied questions in conservation biology. To achieve this, participants will acquire significant skills in computational ecology, movement data pre-processing and analysis, modeling, remote sensing and Geographic Information Systems (GIS).
During the two week course, participants learn new skills through lectures and hands-on exercises in data management, analysis and modeling approaches. Among others, the following topics will be covered:
- Spatial data introduction
- Spatial data handling in QGIS and R
- Movement data in R
- Dealing with time, space, and projections in R,
- Visualizing movement data,
- Measures of movement,
- Trajectory based analyses including behavioral segmentation of movement paths, geometry of movement paths, simulating walks, path recursion
- Area based analysis including various home range measurements, and utilization distributions
- Linking environmental with movement data including raster and vector layers, remote sensing data, and statistical analyses
Participants can work individually or in small groups. Following lectures participants have the opportunity to gain hands on experience by applying learned methods to data sets. Participants are encouraged to bring their own data to apply course content.
Throughout the course, only open source software (mainly R and QGIS) is used and all analyses rely mainly on open access environmental datasets. Evening lectures will provide the broader context of animal movement and remote sensing analysis.
Admission to this two-week course requires some prior working knowledge of R. More advanced techniques with regard to animal movement and remote sensing analysis will be introduced in the course, the main focus will be on the actual state-of-the-art analysis of animal movement and remote sensing data. Remote sensing, GIS, and modeling knowledge are advantageous but not mandatory for participation.
August 27th – September 9th, 2017
MPI-O, Radolfzell, Germany
Please submit one (1) .pdf file with your CV (resume), a Personal Statement of Interest and Qualifications (maximum 350 words), and two references (name and email) of colleagues who are familiar with your professional/academic work. Please state clearly what your animal movement analysis and R skills are and what you expect from AniMove.
We will ask that each course participant bring their own laptop computer, with free software and R packages pre-installed. We will provide a list of software and packages prior to the course.
Application deadline expired on March 31th, 2017
Payment Deadline: June 15th, 2017
The total cost for this two-week course is about 1643,84 EUR (includes accommodation and meals, see below for full list). AniMove is a non-profit initiative, all lecturers are not paid. Fees are only used to cover expenses.
Course fee includes:
- Instruction, course participations and course materials.
- accommodation for the two weeks
- meals and drinks (non-alcoholic beverages) for the two weeks (breakfast, lunch, dinner and snacks/coffee)
- alcoholic beverages, after dinner drinks, snacks etc.