The Community for Technology Leaders
Visualization Symposium, IEEE Pacific (2012)
Songdo, Korea (South)
Feb. 28, 2012 to Mar. 2, 2012
ISBN: 978-1-4673-0863-2
pp: 113-120
Armin Pobitzer , University of Bergen, Norway
Alan Lez , VRVis Research Center, Austria
Kresimir Matkovic , VRVis Research Center, Austria
Helwig Hauser , University of Bergen, Norway
Recent work has shown the great potential of interactive flow analysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the usage of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen attribute set can improve the benefits of state-of-the art interactive flow analysis. The results obtained are compared to previously published work.

K. Matkovic, H. Hauser, A. Lez and A. Pobitzer, "A statistics-based dimension reduction of the space of path line attributes for interactive visual flow analysis," Visualization Symposium, IEEE Pacific(PACIFICVIS), Songdo, Korea (South), 2012, pp. 113-120.
160 ms
(Ver 3.3 (11022016))