Introduction to Scientific Visualization
(Sprache: Englisch)
This is a 'how to' book for scientific visualization. It is treated as a subject in its own right. SciViz has not been covered in an approachable form (other than in compilations of research papers) since Brodlie's seminal work in 1992.
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This is a 'how to' book for scientific visualization. It is treated as a subject in its own right. SciViz has not been covered in an approachable form (other than in compilations of research papers) since Brodlie's seminal work in 1992.
Klappentext zu „Introduction to Scientific Visualization “
This is a 'how to' book for scientific visualization. The book does not treat the subject as a subset of information visualisation, but rather as a subject in its own right. An introduction on the philosophy of the subject sets the scene and the theory of colour perception is introduced. Next, using Brodlie's taxonomy to underpin its core chapters, it is shown how to classify data. Worked examples are given throughout the text and there are practical 'sidebars' for 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.
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.
Inhaltsverzeichnis zu „Introduction to Scientific Visualization “
Potential and Pitfalls.- Models and Software.- Colour in Scientific Visualization.- Choosing Techniques.- Visualizing Scalars.- Visualizing Vectors.- Bibliography and Further Reading.
Bibliographische Angaben
- Autor: Helen Wright
- 2006, 2007., 147 Seiten, Maße: 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, London
- ISBN-10: 1846284945
- ISBN-13: 9781846284946
Sprache:
Englisch
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