Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Computing longest duration flocks in trajectory data
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
Decentralized Movement Pattern Detection amongst Mobile Geosensor Nodes
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Towards a taxonomy of movement patterns
Information Visualization
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Detecting areas visited regularly
COCOON'10 Proceedings of the 16th annual international conference on Computing and combinatorics
ER'11 Proceedings of the 30th international conference on Conceptual modeling
International Journal of Intelligent Information and Database Systems
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Widespread availability of location aware devices (such as GPS receivers) promotes capture of detailed movement trajectories of people, animals, vehicles and other moving objects, opening new options for a better understanding of the processes involved. In this paper we investigate spatio-temporal movement patterns in large tracking data sets. We present a natural definition of the pattern 'one object is leading others', and discuss how such leadership patterns can be computed from a group of moving entities. The proposed definition is based on behavioural patterns discussed in the behavioural ecology literature. We also present several algorithms for computing the pattern, and they are analysed both theoretically and experimentally.