MC1 --- Iterative Analysis of Spatio-temporal Data by Textual Queries and Visualizations

Visualizing monitored traffic over a long period of time is a difficult problem. The trajectories of many traffic participants have to be taken into account to find regular patterns and unusual behavior. We introduce a novel system for visual analysis of spatio-temporal tracking data. This system, d...

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Veröffentlicht in:	2017 IEEE Conference on Visual Analytics Science and Technology (VAST) S. 227 - 228
Hauptverfasser:	Beham, Michael, Podaras, Silvana, Splechtna, Rainer, GraCanin, Denis, Matkovic, Kresimir
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2017
Schlagworte:	Data visualization Information Search and Retrieval Logic gates Monitoring Radiofrequency identification Trajectory Visualization
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Beschreibung
Zusammenfassung:	Visualizing monitored traffic over a long period of time is a difficult problem. The trajectories of many traffic participants have to be taken into account to find regular patterns and unusual behavior. We introduce a novel system for visual analysis of spatio-temporal tracking data. This system, developed as response to VAST 2017 Mini-Challenge 1, enables iterative analysis steps by combining textual queries and linking and brushing interactive visualizations in ComVis tool.
DOI:	10.1109/VAST.2017.8585513