Introduction to Scientific Visualization

This is a how to book for scientific visualization. SciViz has not been covered in an approachable form (other than in compilations of research papers) since Brodlies seminal work "Scientific Visualization: Techniques and Applications" in 1992. This book does not treat the subject as a subset of information visualisation, but rather as a subject in its own right and the author uses a straightforward approach with a non-mathematical basis. An introduction on the philosophy of the subject sets the scene. The theory of colour perception and its value and use for conveying information about data is introduced. Next, using Brodlies 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 - 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.