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SUMMARY
Technological advancements in localisation and ICT technologies enable almost ubiquitous tracking of individuals, be it pedestrians using a smart phone, GPS-enabled cars or GPS-tagged animals. In order to overcome the legacy of static cartography, the new domain of Geographical Information Science (GIScience) is challenged to develop novel tools which will allow scientists to construct a comprehensive understanding of the movement processes which they study.
In this context, the CAMA project seeks to develop a spatiotemporal analysis technique for Context-Aware Movement Analysis. The project will continue the integration of spatiotemporal analysis, data mining and computational geometry, thereby extending the GIS toolbox with context-aware movement analysis tools.
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SOLUTIONS
- Investigating current literature and applications within the research domain
- Designing methods relating movement and movement patterns to the geographical context so as to achieve an improved understanding of movement processes and behaviours
- Developing a movement analysis tool which will greatly enhance the management of endangered species and habitats, the control invasive species and pests and the prevention of pandemic infectious diseases
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LINK: http://p3.snf.ch/project-129963
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