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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Context-Aware Similarity of Trajectories
verfasst von : Maike Buchin, Somayeh Dodge, Bettina Speckmann
Erschienen in: Geographic Information Science
Verlag: Springer Berlin Heidelberg
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The movement of animals, people, and vehicles is embedded in a geographic context. This context influences the movement. Most analysis algorithms for trajectories have so far ignored context, which severely limits their applicability. In this paper we present a model for geographic context that allows us to integrate context into the analysis of movement data. Based on this model we develop simple but efficient context-aware similarity measures. We validate our approach by applying these measures to hurricane trajectories.