Literature DB >> 24808058

Visualizing large, heterogeneous data in hybrid-reality environments.

Khairi Reda, Alessandro Febretti, Aaron Knoll, Jillian Aurisano, Jason Leigh, Andrew Johnson, Michael E Papka, Mark Hereld.   

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.

Year:  2013        PMID: 24808058     DOI: 10.1109/MCG.2013.37

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  2 in total

1.  An interactive simulation and visualization tool for flood analysis usable for practitioners.

Authors:  Johannes G Leskens; Christian Kehl; Tim Tutenel; Timothy Kol; Gerwin de Haan; Guus Stelling; Elmar Eisemann
Journal:  Mitig Adapt Strateg Glob Chang       Date:  2015-05-29       Impact factor: 3.583

2.  BactoGeNIE: a large-scale comparative genome visualization for big displays.

Authors:  Jillian Aurisano; Khairi Reda; Andrew Johnson; Elisabeta G Marai; Jason Leigh
Journal:  BMC Bioinformatics       Date:  2015-08-13       Impact factor: 3.169

  2 in total

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