DocumentCode :
16499
Title :
Visualizing Large, Heterogeneous Data in Hybrid-Reality Environments
Author :
Reda, Khairi ; Febretti, Alessandro ; Knoll, Aaron ; Aurisano, Jillian ; Leigh, J. ; Johnson, A. ; Papka, Michael E. ; Hereld, M.
Author_Institution :
Univ. of Illinois at Chicago, Chicago, IL, USA
Volume :
33
Issue :
4
fYear :
2013
fDate :
July-Aug. 2013
Firstpage :
38
Lastpage :
48
Abstract :
Constructing integrative visualizations that simultaneously cater to a variety of data types is challenging. Hybrid-reality environments blur the line between virtual environments and tiled display walls. They incorporate high-resolution, stereoscopic displays, which can be used to juxtapose large, heterogeneous datasets while providing a range of naturalistic interaction schemes. They thus empower designers to construct integrative visualizations that more effectively mash up 2D, 3D, temporal, and multivariate datasets.
Keywords :
data visualisation; three-dimensional displays; virtual reality; 2D datasets; 3D datasets; heterogeneous data visualization; high-resolution displays; hybrid-reality environments; integrative visualizations; large data visualization; multivariate datasets; naturalistic interaction schemes; stereoscopic displays; temporal datasets; tiled display walls; virtual environments; Data visualization; Monitoring; Stereo image processing; Three-dimensional displays; Visual analytics; Visualization; 3D visualization; Data visualization; Educational institutions; Monitoring; Navigation; Stereo image processing; Three-dimensional displays; Visualization; computer graphics; hybrid-reality environments; immersive visualization; integrative visualization; large high-resolution displays;
fLanguage :
English
Journal_Title :
Computer Graphics and Applications, IEEE
Publisher :
ieee
ISSN :
0272-1716
Type :
jour
DOI :
10.1109/MCG.2013.37
Filename :
6497028
Link To Document :
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