title: Comparative Visualization of Ensembles Using Ensemble Surface Slicing.
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 setssimultaneouslyhas 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.
authors.affiliation: UNC-Chapel Hill, Chapel Hill, NC.
authors.forename: Oluwafemi S
authors.initials: OS
authors.lastname: Alabi
authors.forename: Xunlei
authors.initials: X
authors.lastname: Wu
authors.forename: Jonathan M
authors.initials: JM
authors.lastname: Harter
authors.forename: Madhura
authors.initials: M
authors.lastname: Phadke
authors.forename: Lifford
authors.initials: L
authors.lastname: Pinto
authors.forename: Hannah
authors.initials: H
authors.lastname: Petersen
authors.forename: Steffen
authors.initials: S
authors.lastname: Bass
authors.forename: Michael
authors.initials: M
authors.lastname: Keifer
authors.forename: Sharon
authors.initials: S
authors.lastname: Zhong
authors.forename: Chris
authors.initials: C
authors.lastname: Healey
authors.forename: Russell M
authors.initials: RM
authors.lastname: Taylor
keywords: Ensemble visualization; comparative visualization; isosurface; uncertainty visualization
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