2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)
Chicago, IL, USA
Oct. 25, 2015 to Oct. 30, 2015
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
In this paper we describe our analysis of VAST 2015 Mini-Challenge 1 data using a coordinated multiple views tool - ComVis . We extend the ComVis data model  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.
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.