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Data Visualization Techniques

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Data visualization techniques are a means to manipulate sampled and computed data for comprehensive display. Visualized data can be static or in motion, to provide visual explanations of algorithms or general information. This book draws on examples from a broad selection of subject areas, such as atmospheric sciences or biology, which deal with diverse data analysis and visualization techniques. The various visualization methodologies covered in this book also include moving images as well as static. It is an important source of information for computer graphics software engineers, graduates and researchers who work in the field of visualization techniques. Unique features in this book Trends in Software - edited by Balachander Krishnamurthy of AT&T Research - is a sister publication of the journal Practice and Experience

156 pages, Hardcover

First published July 6, 1999

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