GVU Technical Report Number:
GIT-GVU-92-04
Title:
Visual Representations of Discrete Multivariate Data
Authors:
William Ribarsky
Larry F. Hodges
Robert Minsk
Marcel Bruchez
Abstract:
Some methods are presented, involving shape and color distortions of 3-D
objects, that are well suited for the correlated interpretation of
complex, discrete data. Examples are given for data taken from molecular
dynamics simulations, but the methods are applicable to other systems as
well. It is shown that stereoscopic display plays a major role in
promoting interpretation of these highly detailed visualizations, but the
methods of stereoscopic display must be applied carefully to reveal the
full information content of the images. Extensions of these methods are
discussed, and areas of future research are outlined.
Keywords:
Visualization, multivariate data, stereoscopic display, data analysis, glyphs
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