Description
Book SynopsisTable of Contents1. Foundations for an Applied Science of Data Visualization 2. The Environment, Optics, Resolution, and the Display 3. Lightness, Brightness, Contrast, and Constancy 4. Color 5. Visual Salience and Finding Information 6. Static and Moving Patterns 7. Space Perception 8. Visual Objects and Data Objects 9. Images, Narrative, and Gestures for Explanation 10. Interacting with Visualizations 11. Visual Thinking Processes 12. Designing for Perception (new) Visual Thinking Algorithms Visual Queries Pathfinding on a Map or Diagram Reasoning with a Hybrid of a Visual Display and Mental Imagery Design Sketching Brushing Small Pattern Comparisons in a Large Information Space Degree-of-Relevance Highlighting Generalized Fisheye Views Multidimensional Dynamic Queries with Scatter Plot Visual Monitoring Strategies APPENDIX A. Changing Primaries B. CIE Color Measurement System Techniques and Systems C. Guidelines
