Title :
Poster: Dynamic time transformation for interpreting clusters of trajectories with space-time cube
Author :
Andrienko, Gennady ; Andrienko, Natalia
Abstract :
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.
Keywords :
data visualisation; pattern clustering; visual databases; absolute time references; dynamic time transformation; relative positions; space-time cube; temporal cycles; trajectory clusters; visual interpretation; Clutter; Data visualization; Image color analysis; Tracking; Trajectory; Visual analytics;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
Electronic_ISBN :
978-1-4244-9487-3
DOI :
10.1109/VAST.2010.5653580