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

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2 Author(s)

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.

Published in:

Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on

Date of Conference:

25-26 Oct. 2010