Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets

Authors:
Gennady Andrienko;Natalia Andrienko
Affiliations:
Schloss Birlinghoven, Sankt Augustin, Germany;Schloss Birlinghoven, Sankt Augustin, Germany
Venue:
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Year:
2009

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Abstract

We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines clustering with interactive visual displays, in particular, map and space-time cube. We demonstrate the use of the method by applying it to two datasets from the VAST Challenge 2008: evacuation traces (trajectories of people movement) and landings and interdictions of migrant boats (point events).