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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Est. Packaging Dimensions: Length: 9.37" Width: 6.38" Height: 0.79" Weight: 1.63 lbs.
Release Date Dec 14, 2005
ISBN 3540260668 ISBN13 9783540260660
Availability 137 units. Availability accurate as of Oct 28, 2016 02:31.
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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.