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Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization) [Hardcover]

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Item description for Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization) by Georges-Pierre Bonneau...

One of the greatest scientific challenges of the 21st century is how to master, organize and extract useful knowledge from the overwhelming flow of information made available by today's data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.

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Item Specifications...

Pages   433
Est. Packaging Dimensions:   Length: 9.37" Width: 6.38" Height: 0.79"
Weight:   1.63 lbs.
Binding  Hardcover
Release Date   Dec 14, 2005
Publisher   Springer
ISBN  3540260668  
ISBN13  9783540260660  

Availability  137 units.
Availability accurate as of May 28, 2017 04:39.
Usually ships within one to two business days from La Vergne, TN.
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More About Georges-Pierre Bonneau

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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Graphics & Visualization
2Books > Special Features > New & Used Textbooks > Sciences > Mathematics
3Books > Subjects > Computers & Internet > Computer Science > Software Engineering > Information Systems
4Books > Subjects > Computers & Internet > General
5Books > Subjects > Computers & Internet > Graphics & Illustration > General
6Books > Subjects > Computers & Internet > Web Development > HTML, Graphics, & Design > Web Graphics
7Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > General
8Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Graph Theory
9Books > Subjects > Science > Mathematics > Applied > General
10Books > Subjects > Science > Mathematics > Applied > Graph Theory
11Books > Subjects > Science > Mathematics > General

Reviews - What do customers think about Scientific Visualization: The Visual Extraction of Knowledge from Data (Mathematics and Visualization)?

many neat display ideas  Jul 28, 2006
The many colour illustrations in the book are one of its neatest features. They help greatly in conveying what can be done with good visualisation ideas.

You might usefully combine reading this book with another recent text from Springer - "Visualising the Semantic Web" by Geroimenko and Chen. The latter book has more emphasis on XML encoded data that is geared towards the Semantic Web. Whereas this book takes a more general approach towards the data being researched. But the combination of both books may give insight into your visualisation issues.

The book covers a wide range of subjects. One section deals with volume visualisation in the medical field. Typically, there is medical data that comes from or maps to a 3 dimensional volume inside a body. How then to usefully display this?

While another section involves displaying vector fields. There is even a chapter delving into grid computing and how to handle the massive amounts of data generated.

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