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