Scientific Visualization: The Visual Extraction of Knowledge from Data e} 7 !A
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by ;Oq>c=9%
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Georges-Pierre Bonneau <pKOFN%m
Thomas Ertl lZ2g CZ
Gregory M. Nielson -'WR9M?fq
Editors ]-a/)8
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Springer-Verlag Berlin Heidelberg 2006 9PG{>W$M
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Scientific Visualization is concerned with techniques that allow scientists and engineers gVJh@]8)
to extract knowledge from the results of simulations and computations. Advances i|/G!ht^e
in scientific computation are allowing mathematical models and simulations 28+{
to become increasingly complex and detailed. This results in a closer approximation jeA2y jAC
to reality thus enhancing the possibility of acquiring new knowledge and understanding. `fJ;4$4
Tremendously large collections of numerical values, which contain a great deal C{G=Y[?oc
of information, are being produced and collected. The problem is to convey all of 4 k<U5J
this information to the scientist so that effective use can be made of the human creative "A~D(1K
and analytic capabilities. This requires a method of communication with a high /n$R-Q
bandwidth and an effective interface. Computer generated images and human vision 8ql<7RTM!
mediated by the principles of perceptual psychology are the means used in scientific P%Q'w
visualization to achieve this communication. The foundation material for the <m{#u4FC'
techniques of Scientific Visualization are derived from many areas including, for example, x{So
computer graphics, image processing, computer vision, perceptual psychology, Iue=\qUK^
applied mathematics, computer aided design, signal processing and numerical 'dzbeTJ D5
analysis. gQu!(7WLI
This book is based on selected lectures given by leading experts in Scientific 2S[:mnK
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include X>o*eN
user issues in visualization, large data visualization, unstructured mesh processing @7Ln1v
for visualization, volumetric visualization, flow visualization, medical visualization
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and visualization systems. The methods of visualizing data developed by Scientific /M3; ~ sx
Visualization researchers presented in this book are having broad impact on the way rxJl; !7G
other scientists, engineers and practitioners are processing and understanding their RX^8`}N
data from sensors, simulations and mathematics models. v"%> ms"n
We would like to express our warmest thanks to the authors and referees for their U;u 4ey
hard work. We would also like to thank Fabien Vivodtzev for his help in administering ^ u0y<kItX
the reviewing and editing process. W>&*.3{v
Grenoble, Georges-Pierre Bonneau 4 2,dHYdt
January 2005 Thomas Ertl 8NE[L#k
Gregory M. Nielson K9VP@[zbJ
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