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Introduction to Scientific Visualization, by Helen Wright
Fee Download Introduction to Scientific Visualization, by Helen Wright
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This is a ‘how to’ book for scientific visualization. An introduction on the philosophy of the subject sets the scene, showing why visualization works and what to aim for when presenting scientific data visually - different software architectures for visualization are covered briefly. The theory of colour perception and its value and use for conveying information about data is introduced. Next, using Brodlie’s taxonomy to underpin its core chapters, it is shown how to classify data, choose a technique that’s appropriate for its visualization, and alerts the reader to some of the pitfalls. Worked examples are given throughout the text and there are practical ‘sidebars’ - virtual laboratory classes for those readers with access to the IRIS Explorer software who can try out the demonstrations on an accompanying website. The book concludes with a ‘taster’ of ongoing research, including the move towards large-scale displays, visualization for computational steering and collaborative visualization.
- Sales Rank: #3042568 in eBooks
- Published on: 2007-08-03
- Released on: 2007-08-03
- Format: Kindle eBook
Review
From the reviews:
"Wright, after an overview of the field, presents the basics of color, provides an exemplary taxonomy of visualization techniques … . the book also contains a bibliography, references, solutions to exercises, a list of useful Web sites, common abbreviations, a glossary, and a comprehensive index. … all the visualization techniques are lucidly described, with clear … examples, corresponding charts, and color plates. … Readers looking for a short and accessible introduction to visualization techniques can’t go wrong with Wright’s book." (D. Spinellis, ACM Computing Reviews, September, 2008)
From the Back Cover
Scientific visualization is recognised as important for understanding data, whether measured, sensed remotely or calculated. Introduction to Scientific Visualization is aimed at readers who are new to the subject, either students taking an advanced option at undergraduate level or postgraduates wishing to visualize some specific data.
An introductory chapter on the philosophy of the subject sets the scene, showing why visualization works and what to aim for when presenting scientific data visually. Then, extending and applying Brodlie's taxonomy to underpin its core chapters, the book shows how to classify data, choose a technique that's appropriate for its visualization, and alerts readers to some of the pitfalls before they can invalidate their conclusions. The book concludes with an annotated bibliography and suggestions for further reading.
Above all, this is a 'how to do it' book for scientific visualization, with:
- Discussion of the different types of software architecture for visualization
- Introduction to the theory of colour perception and the role of colour in conveying information about data
- Comprehensive illustrations throughout
- Exercises and problems to encourage further learning
- Virtual laboratories available from Springer’s website for those readers with access to the IRIS Explorer package
Dr. Helen Wright is a Senior Lecturer in the Computer Science department at the University of Hull. She has many years experience teaching scientific visualization to undergraduates and postgraduates, and the material used in this book has been tested through successive taught courses.
Most helpful customer reviews
0 of 0 people found the following review helpful.
nice qualitative read
By W Boudville
Wright's book is a good read. She focuses on the qualitative aspects of composing a lucid image in a scientific report. Many of the diagrams are hand drawn, rather than via some slick software package. But this is fine. She is illustrating basic points about an effective diagram, where you do not introduce some misleading implication between the parts of the diagram.
If you have read the Tufte's classic The Visual Display of Quantitative Information, that has more detailed examples. But Wright's book makes a nice follow up.
1 of 2 people found the following review helpful.
Not worth the price
By Bob
The book is 147 pages long, including the glossary and index, and the content of the book is ridiculously simple. Sure, it is an introductory book, but the book could be easily summarized in less than 10 pages. This would all be acceptable if the book didn't cost so much. ($40 at the time).
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