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Updated: Apr 14, 2026

Movement Retraining using Real-time Feedback of Performance
Published on: January 17, 2013
Analysis and visualisation of movement: an interdisciplinary review
Urška Demšar1, Kevin Buchin2, Francesca Cagnacci3
1School of Geography & Geosciences, University of St Andrews, Irvine Building, North Street, St Andrews, Fife, Scotland KY16 9AL UK.
Movement ecology benefits from interdisciplinary collaboration. New analysis and visualization methods from the European COST Action MOVE network enhance understanding of animal movement patterns.
Area of Science:
- Movement ecology
- Information sciences
- Computational geometry
- Geographic information science
- Visualisation
- Visual analytics
Background:
- Movement ecology investigates factors influencing animal movement.
- Increasingly complex movement data necessitates advanced analytical methods.
- Interdisciplinary collaboration is crucial for developing these new methods.
Purpose of the Study:
- To present new movement analysis and visualisation methodologies.
- To showcase achievements of the European COST Action MOVE network.
- To contextualize these advancements within ecological research.
Main Methods:
- Formation of an international interdisciplinary research network (COST Action MOVE).
- Collaboration between movement data collectors (ecologists) and data analysis experts.
- Development of novel methods for movement data analysis and visualisation.
Main Results:
- Overview of new movement analysis and visualisation techniques developed within the MOVE network.
- Demonstration of interdisciplinary synergy between ecology and information sciences.
- Identification of ecological themes addressable by MOVE methodologies.
Conclusions:
- Interdisciplinary approaches significantly advance movement data analysis.
- The MOVE network fostered innovation in movement ecology tools.
- Future ecological research can leverage these advanced analytical and visualisation methods.
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