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Spatio-temporal aggregation for visual analysis of movements

: Andrienko, G.; Andrienko, N.

Postprint urn:nbn:de:0011-n-838276 (2.3 MByte PDF)
MD5 Fingerprint: 7f792cae1646ce4cf75b6452877e2d83
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Created on: 5.11.2008

Ebert, D. ; IEEE Computer Society, Technical Committee on Visualization and Graphics:
IEEE Visual Analytics Science and Technology, VAST 2008. Proceedings : Columbus, Ohio, USA, October 19 - October 24, 2008
Los Alamitos, Calif.: IEEE Computer Society, 2008
ISBN: 978-1-4244-2935-6
Symposium on Visual Analytics Science and Technology (VAST) <2008, Columbus/Ohio>
Conference Paper, Electronic Publication
Fraunhofer IAIS ()
movement data; spatio-temporal data; aggregation; scalable visualization; geovisualization

Data about movements of various objects are collected in growing amounts by means of current tracking technologies. Traditional approaches to visualization and interactive exploration of movement data cannot cope with data of such sizes. In this research paper we investigate the ways of using aggregation for visual analysis of movement data. We define aggregation methods suitable for movement data and find visualization and interaction techniques to represent results of aggregations and enable comprehensive exploration of the data. We consider two possible views of movement, traffic-oriented and trajectory-oriented. Each view requires different methods of analysis and of data aggregation. We illustrate our argument with example data resulting from tracking multiple cars in Milan and example analysis tasks from the domain of city traffic management.