Synopses & Reviews
For the second edition, Telea has updated the treatment of datavisualization with a significant number of additional visualization algorithms and techniques, but retained the overall organization andthe bottom-up approach. The material is for students of computer science, mathematics, and engineering sciences in the finalundergraduate or early graduate stages. It could also help practitioners in these fields who want to develop their owndata-visualization applications but have no background in computer graphics of visualization. Examples are in pseudo-code in C++.Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)
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.