Context-aware similarity of trajectories

Maike Buchin; Somayeh Dodge; Bettina Speckmann

doi:10.1007/978-3-642-33024-7_4

Context-aware similarity of trajectories

Maike Buchin, Somayeh Dodge, Bettina Speckmann

Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

37 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings
Pages	43-56
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-33024-7_4
State	Published - 2012
Event	7th International Conference on Geographic Information Science, GIScience 2012 - Columbus, OH, United States Duration: Sep 18 2012 → Sep 21 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7478 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on Geographic Information Science, GIScience 2012
Country/Territory	United States
City	Columbus, OH
Period	9/18/12 → 9/21/12

Bibliographical note

Funding Information:
M. Buchin and B. Speckmann are supported by the Netherlands Organisation for Scientific Research (NWO) under project no. 612.001.106 and no. 639.022.707, respectively. S. Dodge was supported in parts by Forschungskredit University of Zurich (Credit No. 57060804), and NASA grant number NNX11AP61G.

Keywords

Movement data
geographic context
similarity measures

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10.1007/978-3-642-33024-7_4

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Buchin, M., Dodge, S., & Speckmann, B. (2012). Context-aware similarity of trajectories. In Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings (pp. 43-56). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7478 LNCS). https://doi.org/10.1007/978-3-642-33024-7_4

Context-aware similarity of trajectories. / Buchin, Maike; Dodge, Somayeh; Speckmann, Bettina.
Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings. 2012. p. 43-56 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7478 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Buchin, M, Dodge, S & Speckmann, B 2012, Context-aware similarity of trajectories. in Geographic Information Science - 7th International Conference, GIScience 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7478 LNCS, pp. 43-56, 7th International Conference on Geographic Information Science, GIScience 2012, Columbus, OH, United States, 9/18/12. https://doi.org/10.1007/978-3-642-33024-7_4

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Context-aware similarity of trajectories

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