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Animal Movement and Remote Sensing Science School: AniMove

August 27, 2017 - September 9, 2017

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


August 27, 2017
September 9, 2017
Event Category:




Am Obstberg 1
Radolfzell, Germany
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