Introduction to Scientific Visualization [Paperback]

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 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 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. 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 Brodlies seminal work in 1992.

AboutThisBook This book was ?rst suggested to Springer in 2004, though its origins go back to changes made two years earlier to the structure of the University of Hulls Computer Science programme. At the same time, my own visualization - search was leading towards a systematic view of data and techniques that I felt could be educationally valuable. In 2003 I thus sat down with some trepidation to write a visualization course founded on research in the area but nonetheless accessible to students. This course could, however, involve no mathematics beyond GCSE, in line with university admissions practices of that time. Writing the course involved generating many new illustrations, in the form of both line drawings and visualization screenshots and, wi- ing to get maximum mileage out of this e?ort, the idea of writing a book to accompany the course came about. At the University of Hull, our practical visualization teaching is based on IRIS Explorer, an application builder-type package from NAG Ltd. Ori- nally this book was to have been both an introduction to visualization alS