Hierarchical and Geometrical Methods in Scientific Visualization (Hardcover)

~ Gerald Farin (Editor), Bernd Hamann (Editor), Hans Hagen (Editor) "Currently, large physics simulat ions produce 3D discretized field data whose individual isosurfaces, after conventional extraction processes, contain upwards of hundreds of millions of triangles..." (more)
Key Phrases: vert ices, dual grids, wit hill, New York, Los Alamitos, Office of Naval Research (more...)

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Product Description

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.

Product Details

• Hardcover: 330 pages
• Publisher: Springer; 1 edition (February 12, 2003)
• Language: English
• ISBN-10: 3540433139
• ISBN-13: 978-3540433132
• Product Dimensions: 9.4 x 6.4 x 0.7 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
• Amazon.com Sales Rank: #3,006,469 in Books (See Bestsellers in Books)

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2 of 3 people found the following review helpful:

4.0 out of 5 stars perhaps considered as a fractal-like approach to displaying data, June 24, 2006

By	W Boudville (Terra, Sol 3) - See all my reviews (TOP 10 REVIEWER)    (REAL NAME)

The book is a conference proceedings writeup. Unfortunately, it lacks an introduction that attempts to put some perspective or overall theme on the papers. So you might end up trolling the contents pages and the abstracts of each paper, in the hope of finding something relevant to your needs.

One paper on better ways to model terrain, via Voronoi decompositions. While another paper studies how to display large scale dynamical astrophysics. This is an extreme problem, where time and spatial dimensions can vary by several orders of magnitude. So displaying an animation consisting of equal time steps often proves inadequate. The authors suggest a hierarchical approach, somewhat fractal-like in spirit, if you will.

There are numerous other papers that urge similar approaches.