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Proceedings Paper

Multivariate data visualization via outdoor scenes
Author(s): Benjamin A. Hillery; Robert P. Burton
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Paper Abstract

Visualization of multivariate data presents a challenge due to the sheer dimensionality and density of information. When presenting the data symbolically, this high information dimensionality and density makes it difficult to develop a symbology capable of displaying it in a single presentation. One approach to multivariate visualization involves creating symbols with higher dimensionality. Higher dimensional symbols can be problematic, since they typically require significant human attentive processing to interpret, offsetting their greater informational capacity. Although attempts have been made to develop higher-dimensional symbols that are processed in a preattentive fashion, success has proven elusive. Recent cognitive research indicates that outdoor scenes are processed in a preattentive manner. We evaluate outdoor scenes as a candidate for developing an effective higher-dimensional symbology by generating proof-of-concept images and comparing them to related methods.

Paper Details

Date Published: 24 January 2011
PDF: 11 pages
Proc. SPIE 7868, Visualization and Data Analysis 2011, 78680X (24 January 2011); doi: 10.1117/12.872661
Show Author Affiliations
Benjamin A. Hillery, Brigham Young Univ. (United States)
Robert P. Burton, Brigham Young Univ. (United States)


Published in SPIE Proceedings Vol. 7868:
Visualization and Data Analysis 2011
Pak Chung Wong; Jinah Park; Ming C. Hao; Chaomei Chen; Katy Börner; David L. Kao; Jonathan C. Roberts, Editor(s)

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