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Interactive spatio-temporal cluster analysis of VAST challenge 2008 datasets

 
: Andrienko, G.; Andrienko, N.

:

Puolamäki, K. ; Association for Computing Machinery -ACM-, Special Interest Group on Knowledge Discovery and Data Mining -SIGKDD-:
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Dicovery, VAKD '09 : A full-day workshop in conjunction with the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining in Paris, France, on 28 June 2009
New York: ACM, 2009
ISBN: 978-1-60558-670-0
pp.5-11
Workshop on Visual Analytics and Knowledge Discovery (VAKD) <2009, Paris>
International Conference on Knowledge Discovery and Data Mining (KDD) <15, 2009, Paris>
English
Conference Paper
Fraunhofer IAIS ()
spatio-temporal data; movement data; trajectory; movement pattern; movement behavior; point event; clustering; visual analytic; exploratory data analysis; visualization

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).

: http://publica.fraunhofer.de/documents/N-104986.html