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Hierarchical and Geometrical Methods in Scientific Visualization 2003 Edition
Contributor(s): Farin, Gerald (Editor), Hamann, Bernd (Editor), Hagen, Hans (Editor)
ISBN: 3540433139     ISBN-13: 9783540433132
Publisher: Springer
OUR PRICE:   $208.99  
Product Type: Hardcover - Other Formats
Published: December 2002
Qty:
Annotation: This book emerged from a DoE/NSF-sponsored workshop, held in Tahoe City, California, October 2000. About fifty invited participants presented state-of-the-art research on topics such as:
- terrain modeling
- multiresolution subdivision
- wavelet-based scientific data compression
- topology-based visualization
- data structures, data organization and indexing schemes for scientific data visualization.
All invited papers were carefully refereed, resulting in this collection. The book will be of great interest to researchers, graduate students and professionals dealing with scientific visualization and its applications.
Additional Information
BISAC Categories:
- Science | Philosophy & Social Aspects
- Mathematics | Number Systems
- Computers | Internet - General
Dewey: 004
LCCN: 2002042595
Series: Mathematics and Visualization
Physical Information: 0.73" H x 6.56" W x 9.46" (1.44 lbs) 367 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., 11], 2], or 5]). Although there are alternate theories, it is generally believed that the large-scale relationships and homogeneities that we see can only be explainedby having the universe expand suddenlyin a very early "in?ationary" period. Subsequent evolution of the Universe is described by the Hubble expansion, the observation that the galaxies are ?ying away from each other. We can attribute di?erent rates of this expansion to domination of di?erent cosmological processes, beginning with radiation, evolving to matter domination, and, relatively recently, to vacuum domination (the Cosmological Constant term) 4]. We assume throughout that we will be relying as much as possible on observational data, with simulations used only for limited purposes, e.g., the appearance of the Milky Wayfrom nearbyintergalactic viewpoints. The visualization of large-scale astronomical data sets using?xed, non-interactive animations has a long history. Several books and ?lms exist, ranging from "Cosmic View: The Universe in Forty Jumps" 3] by Kees Boeke to "Powers of 10" 6,13] by Charles and Ray Eames, and the recent Imax ?lm "Cosmic Voyage" 15]. We have added our own contribution 9], "Cosmic Clock," which is an animation based entirely on the concepts and implementation described in this paper.