Book 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 wi
Table of contents
- Preliminaries
- Dedication
- Preface to Second Edition
- Chapter 1 Introduction
- Chapter 2 From Graphics to Visualization
-
Chapter 3 Data Representation
- 3.1 Continuous Data
- 3.2 Sampled Data
- 3.3 Discrete Datasets
- 3.4 Cell Types
- 3.5 Grid Types
- 3.6 Attributes
- 3.7 Computing Derivatives of Sampled Data
- 3.8 Implementation
- 3.9 Advanced Data Representation
- 3.10 Conclusion
- Chapter 4 The Visualization Pipeline
- Chapter 5 Scalar Visualization
-
Chapter 6 Vector Visualization
- 6.1 Divergence and Vorticity
- 6.2 Vector Glyphs
- 6.3 Vector Color Coding
- 6.4 Displacement Plots
- 6.5 Stream Objects
- 6.6 Texture-Based Vector Visualization
- 6.7 Simplified Representation of Vector Fields
- 6.8 Illustrative Vector Field Rendering
- 6.9 Conclusion
-
- Figure 6.1
- Figure 6.2
- Figure 6.3
- Figure 6.4
- Figure 6.5
- Figure 6.6
- Figure 6.7
- Figure 6.8
- Figure 6.9
- Figure 6.10
- Figure 6.11
- Figure 6.12
- Figure 6.13
- Figure 6.14
- Figure 6.15
- Figure 6.16
- Figure 6.17
- Figure 6.18
- Figure 6.19
- Figure 6.20
- Figure 6.21
- Figure 6.22
- Figure 6.23
- Figure 6.24
- Figure 6.25
- Figure 6.26
- Figure 6.27
- Figure 6.28
- Figure 6.29
- Figure 6.30
- Figure 6.31
- Figure 6.32
- Figure 6.33
- Figure 6.34
- Figure 6.35
- Figure 6.36
- Figure 6.37
- Chapter 7 Tensor Visualization
- Chapter 8 Domain-Modeling Techniques
-
Chapter 9 Image Visualization
- 9.1 Image Data Representation
- 9.2 Image Processing and Visualization
- 9.3 Basic Imaging Algorithms
- 9.4 Shape Representation and Analysis
- 9.5 Conclusion
-
- Figure 9.1
- Figure 9.2
- Figure 9.3
- Figure 9.4
- Figure 9.5
- Figure 9.6
- Figure 9.7
- Figure 9.8
- Figure 9.9
- Figure 9.10
- Figure 9.11
- Figure 9.12
- Figure 9.13
- Figure 9.14
- Figure 9.15
- Figure 9.16
- Figure 9.17
- Figure 9.18
- Figure 9.19
- Figure 9.20
- Figure 9.21
- Figure 9.22
- Figure 9.23
- Figure 9.24
- Figure 9.25
- Figure 9.26
- Figure 9.27
- Chapter 10 Volume Visualization
-
Chapter 11 Information Visualization
- 11.1 What Is Infovis?
- 11.2 Infovis vs. Scivis: A Technical Comparison
- 11.3 Table Visualization
- 11.4 Visualization of Relations
- 11.5 Multivariate Data Visualization
- 11.6 Text Visualization
- 11.7 Conclusion
-
- Figure 11.1
- Figure 11.2
- Figure 11.3
- Figure 11.4
- Figure 11.5
- Figure 11.6
- Figure 11.7
- Figure 11.8
- Figure 11.9
- Figure 11.10
- Figure 11.11
- Figure 11.12
- Figure 11.13
- Figure 11.14
- Figure 11.15
- Figure 11.16
- Figure 11.17
- Figure 11.18
- Figure 11.19
- Figure 11.20
- Figure 11.21
- Figure 11.22
- Figure 11.23
- Figure 11.24
- Figure 11.25
- Figure 11.26
- Figure 11.27
- Figure 11.28
- Figure 11.29
- Figure 11.30
- Figure 11.31
- Figure 11.32
- Figure 11.33
- Figure 11.34
- Figure 11.35
- Figure 11.36
- Figure 11.37
- Figure 11.38
- Figure 11.39
- Figure 11.40
- Figure 11.41
- Figure 11.42
- Figure 11.43
- Chapter 12 Conclusion
- Appendix Visualization Software
- Bibliography
Product information
- Title: Data Visualization, 2nd Edition
- Author(s):
- Release date: September 2014
- Publisher(s): A K Peters/CRC Press
- ISBN: 9781498759793
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