Information Visualization: Perception for Design, 4th Edition

Cover image
Title page
Table of Contents
Copyright
Preface
About the Author
Chapter One. Foundations for an Applied Science of Data Visualization
    Visualization Stages
    Experimental Semiotics Based on Perception
    Semiotics of Graphics
    Sensory versus Arbitrary Symbols
    Gibson’s Affordance Theory
    A Model of Perceptual Processing
    Costs and Benefits of Visualization
    Types of Data
    Metadata
    Conclusion
Chapter Two. The Environment, Optics, Resolution, and the Display
    The Environment
    The Eye
    The Optimal Display
    Conclusion
Chapter Three. Lightness, Brightness, Contrast, and Constancy
    Neurons, Receptive Fields, and Brightness Illusions
    Luminance, Brightness, Lightness, and Gamma
    Perception of Surface Lightness
    Monitor Illumination and Monitor Surrounds
    Conclusion
Chapter Four. Color
    Trichromacy Theory
    Color Measurement
    Opponent Process Theory
    Properties of Color Channels
    Color Appearance
    Applications of Color in Visualization
    Application 1: Color Specification Interfaces and Color Spaces
    Application 2: Color for Labeling (Nominal Codes)
    Application 3: Pseudocolor Sequences for Data Maps
    Application 4: Color Reproduction
    Conclusion
Chapter Five. Visual Salience: Finding and Reading Data Glyphs
    Eye Movements
    V1, Channels, and Tuned Receptors
    Preattentive Processing and Ease of Search
    Integral and Separable Dimensions: Glyph Design
    Representing Quantity
    The Searchlight Metaphor and Cortical Magnification
    Conclusion
Chapter Six. Static and Moving Patterns
    Gestalt Laws
    Showing Speed
    Texture: Theory and Data Mapping
    Perception of Transparency with Uniform Colors
    Perceiving Patterns in Multidimensional Discrete Data
    Pattern Perception and Deep Learning
    The Visual Grammar of Node-link Diagrams
    The Visual Grammar of Maps
    Patterns in Motion
    Perception of Animated Motion
    The Processes of Pattern Finding
Chapter Seven. Space Perception
    Depth Cue Theory
    Depth Cues in Combination
    Task-Based Space Perception
    Tracing Data Paths in 3D Graphs
    Judging the Morphology of Surfaces
    Patterns of Points in 3D Space
    Perceiving Patterns in 3D Trajectories
    Judging Relative Positions of Objects in Space
    Judging the Relative Movements of Self Within the Environment
    Selecting and Positioning Objects in 3D
    Judging the “up” Direction
    The Aesthetic Impression of 3D Space (Presence)
    Conclusion
Chapter Eight. Visual Objects and Data Objects
    Image-Based Object Recognition
    Structure-Based Object Recognition
    The Object Display and Object-Based Diagrams
    3D Glyphs
    Faces
    Coding Words and Images
    Labels and Concepts
    Concept Mapping
    Iconic Images versus Words versus Abstract Symbols
    Scenes and Scene Gist
    Conclusion
Chapter Nine. Images, Narrative, and Gestures for Explanation
    The Nature of Language
    Integrating Visual and Verbal and the Narrative Thread
    Animated versus Static Presentations
    Visual Narrative for Explanation
    Introduction and Initial Framing
    Conclusion
Chapter Ten. Interacting with Visualizations
    Data Selection and Manipulation Loop
    Exploration and Navigation Loop
    Interfaces with less Literal Metaphors
    Nonmetaphoric Interactions with Nonspatial Data
    Network Zooming
    Conclusion
Chapter Eleven. Thinking With Visualizations
    The Cognitive System
    The Predicting Brain
    Memory and Attention
    Visualizations and Mental Images
    Long-Term Episodic Memory and World Modeling
    Knowledge Formation
    Cognitive Biases and Automatic Processing
    Review of Visual Cognitive System Components
Chapter Twelve. Designing Cognitively Efficient Visualizations
    The Process
    Step 1: High-Level Cognitive Task Description
    Step 2: Data Inventory
    Step 3: Cognitive Task Refinement
    Step 4: Identification of Appropriate Visualization Types
    Step 5. Applying Visual Thinking Design Patterns for Cognitive Efficiency
    Visual Monitoring
    Drill Down
    Find Local Patterns in Small to Medium-Sized Networks
    Seed-then-Grow
    Pattern Comparisons in a Large Information Space
    Cross-View Brushing
    Dynamic Queries
    Model-Based Interactive Planning
    Step 6 Prototype Development
    Step 7: Evaluation and Design Refinement
    Conclusion
    Useful Textbook References
Appendix A. Changing Primaries
Appendix B. CIE Color Measurement System
Appendix C. Guidelines
Author Index
Subject Index