
Data Visualization
Principles and Practice, Second Edition
Alexandru C. Telea(Author)
A K Peters (Publisher)
2nd Edition
Published on 18. September 2014
Book
Hardback
620 pages
978-1-4665-8526-3 (ISBN)
Description
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 with third-party code, and more.
Focusing on those techniques and methods with the broadest applicability across fields, 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.
See What's New in the Second Edition:
Additional visualization algorithms and techniques
New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques
Additional techniques for point-cloud reconstruction
Additional advanced image segmentation algorithms
Several important software systems and libraries
Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.
Focusing on those techniques and methods with the broadest applicability across fields, 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.
See What's New in the Second Edition:
Additional visualization algorithms and techniques
New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques
Additional techniques for point-cloud reconstruction
Additional advanced image segmentation algorithms
Several important software systems and libraries
Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.
Reviews / Votes
"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
More details
Edition
2nd edition
Language
English
Place of publication
Natick
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Academic and Professional Practice & Development
Edition type
New edition
Product notice
sewn/stitched
Paper over boards
Illustrations
224 s/w Abbildungen, 224 farbige Abbildungen, 4 s/w Tabellen
4 Tables, black and white; 224 Illustrations, color; 224 Illustrations, black and white
Dimensions
Height: 244 mm
Width: 195 mm
Thickness: 32 mm
Weight
1441 gr
ISBN-13
978-1-4665-8526-3 (9781466585263)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

E-Book
09/2014
2nd Edition
CRC Press
€121.99
Available for download

E-Book
09/2014
2nd Edition
CRC Press
€121.99
Available for download
Previous edition

Book
12/2007
1st Edition
A K Peters
€88.08
Article exhausted; check for reprint
Person
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.
Content
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.