Data Visualization: Principles and Practice, Second Edition

by Alexandru C. Telea

Overview

Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration wi

Product Details

ISBN-13:	9781498759793
Publisher:	CRC Press
Publication date:	09/18/2014
Sold by:	Barnes & Noble
Format:	eBook
Pages:	617
File size:	112 MB
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About the Author

Alexandru C. Telea, Professor of Visual Data Analytics at the Department of Information and Computing Sciences, Utrecht University. Former professor of Multiscale Visual Analytics in the Scientific Visualization and Computer Graphics (SVCG) group at the Bernoulli Institute, Faculty of Science and Engineering, University of Groningen.

Table of Contents

Introduction. Computer Graphics and Visualization. Discrete Data Representation in (Scientific) Visualization Applications. Visualization Pipeline. Fundamental Techniques for Scalar Visualization. Vector Visualization Techniques. Tensor Visualization Techniques. Domain Modeling Techniques. Scientific Visualization and Signal/Image Processing. Scalar Visualization. Information Visualization (Infovis) Techniques. The Value and Price of Visualization. Challenges and Prospects of the Visualization Field. Appendix.

Editorial Reviews

The second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization.” —Timothy King, Solutions Review

"An ideal textbook for academic course work and should be an integral part of all academic library instructional reference collections."
—Michael J. Carson, Midwest Book Review

From the Publisher