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2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)
Chicago, IL, USA
Oct. 25, 2015 to Oct. 30, 2015
ISBN: 978-1-4673-9783-4
pp: 167-168
Kresimir Matkovic , VRVis Research Center in Vienna, Austria
Denis Gracanin , Virginia Tech, Blacksburg, USA
Rainer Splechtna , VRVis Research Center in Vienna, Austria
Alexandra Diehl , University of Buenos Aires, Argentina
Mai Elshehaly , Virginia Tech, Blacksburg, USA
Claudio Delrieux , Univ. Nacional del Sur, Bahía Blanca, Argentina
ABSTRACT
In this paper we describe our analysis of VAST 2015 Mini-Challenge 1 data using a coordinated multiple views tool - ComVis [2]. We extend the ComVis data model [1] to support trajectories with events. We also improve user interaction and introduce a new view in order to support analysis. The data is processed so that it follows the new data model and fits in a single table. We answer some of the challenge questions and plan further research on data exploration and analysis based on the newly introduced data model, interaction, and views.
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CITATION

K. Matkovic, D. Gracanin, R. Splechtna, A. Diehl, M. Elshehaly and C. Delrieux, "Exploring trajectory data using ComVis CMV tool VAST 2015 Mini-Challenge 1," 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), Chicago, IL, USA, 2015, pp. 167-168.
doi:10.1109/VAST.2015.7347663
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