Data Visualization : Principles and Practice

"" """"An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques.""""-- The Midwest Book Review , April 2008 """"For advanced undergraduate or early graduate students of computer science, mathematics, and engineering sciences, Telea introduces the principles of data visualization as it is practiced in such realms as signal theory, imaging, computer graphics, and statistics."""" -BOOK NEWS Inc., June 2008"" Read more... Abstract: "" """"An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques.""""-- The Midwest Book Review , April 2008 """"For advanced undergraduate or early graduate students of computer science, mathematics, and engineering sciences, Telea introduces the principles of data visualization as it is practiced in such realms as signal theory, imaging, computer graphics, and statistics."""" -BOOK NEWS Inc., June 2008"" The goal of data visualization is to use images to improve our understanding of a dataset, drawing on techniques from mathematics, computer science, cognitive and perception science, and physics. In this introductory text, the author provides a compact introduction to the field that allows readers to learn about visualization techniques. The material focuses on those techniques and methods that have a broad applicability in visualization applications, occur in most practical problems in various guises, and do not demand a specialized background to be understood. However, the author has also included a number of less mainstream visualization techniques. With these methods, the book gives the reader an idea of the large variety of applications of data visualizations, illustrates the wide 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. Front Cover -- Title Page -- Copyright -- Table of Contents -- Chapter 1. Introduction -- Chapter 2. From Graphics to Visualization -- Chapter 3. Data Representation -- Chapter 4. The Visualization Pipeline -- Chapter 5. Scalar Visualization -- Chapter 6. Vector Visualization -- Chapter 7. Tensor Visualization -- Chapter 8. Domain-Modeling Techniques -- Chapter 9. Image Visualization -- Chapter 10. Volume Visualization -- Chapter 11. Information Visualization -- Chapter 12. Conclusion -- Back Matter -- Back Cover Content: Front Cover Title Page Copyright Table of Contents Chapter 1. Introduction Chapter 2. From Graphics to Visualization Chapter 3. Data Representation Chapter 4. The Visualization Pipeline Chapter 5. Scalar Visualization Chapter 6. Vector Visualization Chapter 7. Tensor Visualization Chapter 8. Domain-Modeling Techniques Chapter 9. Image Visualization Chapter 10. Volume Visualization Chapter 11. Information Visualization Chapter 12. Conclusion Back Matter Back Cover. "Data Visualization: Principles and Practice provides a concise introduction to the field of data visualization. The material focuses on those techniques and methods that have a broad applicability in visualization applications, occur in most practical problems in various guises, and do not demand a specialized background to be understood. A number of less mainstream visualization techniques are also covered."--Jacket