2016 – BIKF


AniMove Fundamentals course in December 2016

December 5th – 16th, 2016, Frankfurt, Germany

AniMove Fundamentals
: Fundamentals of Animal Movement Analysis 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 basic techniques how to analyze these data. This course differs from the regular AniMove course in providing more introduction to R (though participants are expected to have a basic familiarity) and provides a more structured curriculum throughout both course weeks. Course participants will have the opportunity to apply learned techniques to their own data during the course but won’t undertake independent research projects as in the regular AniMove 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 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:

    • Introduction to R
    • Spatial data introduction
    • Spatial data 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 such as functions and loops will be introduced in the course, but the main focus will be on the actual analysis of animal movement and remote sensing data. Remote sensing, GIS, and modeling knowledge are advantageous but not mandatory for participation.


December 5th – 16th, 2016


Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany

Application Procedure

Please submit one (1) .pdf file with your CV (resume), a Personal Statement of Interest and Qualifications (maximum 350 words), and a letter of recommendation from someone familiar with your professional/academic work. You will be asked to attach the recommendation form with your application, but it can also be sent separately. 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 June 5th, 2016

Course Costs

Payment Deadline: July 22th, 2016

The total cost for this two-week course is 800 EUR. AniMove is a non-profit initiative, all lecturers are not paid. Fees are used to cover expenses.

Course fee includes:

  • Instruction, course participations and course materials.
  • Meals: A light lunch and coffee break are provided during the course.

Not included:

  • Accommodation: Participants are expected to book their own accommodations. We will provide assistance in finding housing and matching participants for potential room sharing if desired.
  • Meals: Breakfast and dinner during the course and all meals on weekend are not provided.

For more information: contact@animove.org

For submitting your application go here – application deadline expired