Overview and State-of-the-Art of Uncertainty Visualization - Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization - page 2

Chapter 1
Overview and State-of-the-Art of Uncertainty
Visualization

Georges-Pierre Bonneau, Hans-Christian Hege, Chris R. Johnson,
Manuel M. Oliveira, Kristin Potter, Penny Rheingans
and Thomas Schultz

What is not surrounded by uncertainty cannot be the truth.
—Richard Feynman
True genius resides in the capacity for evaluation of uncertain,
hazardous, and conflicting information.

—Winston Churchill

Abstract The goal of visualization is to effectively and accurately communicate
data. Visualization research has often overlooked the errors and uncertainty which
accompany the scientific process and describe key characteristics used to fully
understand the data. The lack of these representations can be attributed, in part, to the

( B )
The University of Grenoble, Grenoble, France
e-mail: [e-mail]
H.-C. Hege
Zuse Institute Berlin, Berlin, Germany
e-mail: [e-mail]
C.R. Johnson

G.-P. Bonneau

K. Potter
Scientific Computing and Imaging Institute, University of Utah,
Salt Lake City, UT, USA
e-mail: [e-mail]
K. Potter
e-mail: [e-mail]
M.M. Oliveira
Instituto de Informática, UFRGS, Porto Alegre, RS, Brazil
e-mail: [e-mail]
P. Rheingans
University of Maryland Baltimore County, Baltimore, MD, USA
e-mail: [e-mail]
T. Schultz
University of Bonn, Bonn, Germany
e-mail: [e-mail]
T. Schultz
MPI for Intelligent Systems, Tübingen, Germany

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