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Dynamic time transformation for interpreting clusters of trajectories with space-time cube

: Andrienko, G.; Andrienko, N.


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Symposium on Visual Analytics Science and Technology 2010. Proceedings : VAST 2010, October 24 - 28, Salt Lake City, Utah, USA
Piscataway: IEEE Computer Society, 2010
ISBN: 978-1-4244-9486-6
Symposium on Visual Analytics Science and Technology (VAST) <2010, Salt Lake City/Utah>
Fraunhofer IAIS ()

We propose a set of techniques that support visual interpretation of trajectory clusters by transforming absolute time references into relative positions within temporal cycles or with respect to the starting and/or ending times of the trajectories. We demonstrate the work of the approach on a real data set about individual movement over one year.