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Preface VII
About This Book VII
Acknowledgments VIII
Introduction 1
Potential and Pitfalls 7
Understanding Data 7
Using Space 8
Using Colour 16
Using Animation 17
Misunderstanding Data 19
Using the Right Tool for the Right Job 19
The Perils of Interpolation 22
Problems 25
Models and Software 27
A Dataflow Model of Visualization 27
Visualization Scenarios 30
Computational Steering 30
Distributed and Collaborative Visualization 31
Visualization Software 33
Historical Context 33
Current Approaches 33
Problems 36
Colour in Scientific Visualization 37
The Electromagnetic Spectrum 37
Colour Perception 38
Modelling Colour 40
RGB Colour Model 40
HSV Colour Model 41
Relating RGB and HSV 44
Mapping Data to Colours 46
Nonlinear Colour Mapping 47
'Linear' Colour Mapping 48
Perceptual Effects and Colour Vision Deficiency 50
Problems 54
Choosing Techniques 55
Classifying Data 55
Dependent and Independent Variables 55
Data Domain 58
Scalar and Vector Types 60
Taxonomy of Visualization Techniques 64
Problems 68
Visualizing Scalars 69
1D Data 69
Bar Chart, Pie Chart, and Scatterplot 69
Histogram and Line Graph 72
2D Data 73
2D Bar Chart 73
2D Histogram 75
Bounded Region Plot 76
Image Display 76
Making a Framework 78
Contour Plot 81
Surface View 84
Height-field Plot 87
3D Data 90
Reduction to 2D 90
Isosurface 93
Volume Render 98
Problems 102
Visualizing Vectors 103
Arrow Plot 104
Streamline and Timeline 106
Streamribbon, Streamsurface, and Streamtube 108
Time Surface 110
Flow Texture 112
Unsteady Flow 112
Problems 115
Bibliography and Further Reading 117
References 125
Solutions 129
Useful Information 135
Web Sites 135
Abbreviations 136
Definitions 138
Index 145
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