July 9 – 14 , 2017, Dagstuhl Seminar 17282
From Observations to Prediction of Movement
Mark Birkin (University of Leeds, GB)
Somayeh Dodge (University of Minnesota – Minneapolis, US)
Brittany Terese Fasy (Montana State University – Bozeman, US)
Richard Philipp Mann (University of Leeds, GB)
For support, please contact
Susanne Bach-Bernhard for administrative matters
Marc Herbstritt for scientific matters
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Whether studying humans, animals, or machines, movement analysis is key to understanding the underlying mechanisms of dynamic processes. Analysis of movement trajectories is a core element of Movement Ecology in Biology, as well as being important across disciplines as diverse as Geographic Information Sciences (GIS), Transportation, Criminology, Epidemiology, Computer Gaming, and Phylogenetics. Development of efficient algorithms for analyzing and predicting will be vital to realizing the hopes for new generation smart transport systems and smart cities. Furthermore, naturally generated trajectories provide a fascinating context for mathematical and computational study of Geometry and Stochastic Processes. This seminar continues a series of previous seminars on the description, analysis, and visualization of movement trajectories, and brings the focus onto the modeling and prediction of movement in various domains.
In particular, we aim to address the following questions:
- What does it mean to predict a trajectory? Should we focus on predicting the spatial locations or the geometric properties?
- What are the potential uses of accurate trajectory prediction and what degree of accuracy is required?
- What is the relationship between accurate prediction and an understanding of the generating process? Can you have one without the other?
- To what extent movement observations convey information on the underlying behavior of moving phenomena?
- What is the relationship between movement and its environmental context? To what extent changes in movement patterns convey information on changes in the environment and vice versa?
- Can we build a classification of trajectory generating mechanisms and associated trajectory properties, such as navigation by waypoints, explorative foraging?
This seminar will bring together researchers from Animal Behaviour, GIS, Computational Geometry, Data Science and other fields to exchange insights from these diverse fields. Presentations will focus both on outstanding practical questions and study systems as well as on fundamental mathematical and computational tools. Participants will be invited to introduce their own study systems, current research problems and newly developed methodologies as the basis for discussion and work groups. We hope that these groups will form the basis of many exciting new collaborations and research projects in the years ahead.
Creative Commons BY 3.0 DE
Mark Birkin and Somayeh Dodge and Brittany Terese Fasy and Richard Philipp Mann
Dagstuhl Seminar Series
- 16022: "Geometric and Graph-based Approaches to Collective Motion" (2016)
- 14132: "Interaction and Collective Movement Processing" (2014)
- 12512: "Representation, Analysis and Visualization of Moving Objects" (2012)
- 10491: "Representation, Analysis and Visualization of Moving Objects" (2010)
- 08451: "Representation, Analysis and Visualization of Moving Objects" (2008)
- Data Structures / Algorithms / Complexity
- Modelling / Simulation
- Geometric algorithms
- Graph algorithms
- Geographic information system
- Agent-based simulation
- Statistical models
- Collective motion
- Smart cities
- Human health