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Proceedings Paper

Comparative visualization of ensembles using ensemble surface slicing
Author(s): Oluwafemi S. Alabi; Xunlei Wu; Jonathan M. Harter; Madhura Phadke; Lifford Pinto; Hannah Petersen; Steffen Bass; Michael Keifer; Sharon Zhong; Chris Healey; Russell M. Taylor
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Paper Abstract

By definition, an ensemble is a set of surfaces or volumes derived from a series of simulations or experiments. Sometimes the series is run with different initial conditions for one parameter to determine parameter sensitivity. The understanding and identification of visual similarities and differences among the shapes of members of an ensemble is an acute and growing challenge for researchers across the physical sciences. More specifically, the task of gaining spatial understanding and identifying similarities and differences between multiple complex geometric data sets simultaneously has proved challenging. This paper proposes a comparison and visualization technique to support the visual study of parameter sensitivity. We present a novel single-image view and sampling technique which we call Ensemble Surface Slicing (ESS). ESS produces a single image that is useful for determining differences and similarities between surfaces simultaneously from several data sets. We demonstrate the usefulness of ESS on two real-world data sets from our collaborators.

Paper Details

Date Published: 25 January 2012
PDF: 12 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940U (25 January 2012); doi: 10.1117/12.908288
Show Author Affiliations
Oluwafemi S. Alabi, The Univ. of North Carolina at Chapel Hill (United States)
Xunlei Wu, Renaissance Computing Institute (United States)
Jonathan M. Harter, The Univ. of North Carolina at Chapel Hill (United States)
Madhura Phadke, North Carolina State Univ. (United States)
Lifford Pinto, North Carolina State Univ. (United States)
Hannah Petersen, Duke Univ. (United States)
Steffen Bass, Duke Univ. (United States)
Michael Keifer, Michigan State Univ. (United States)
Sharon Zhong, Michigan State Univ. (United States)
Chris Healey, North Carolina State Univ. (United States)
Russell M. Taylor, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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