Description:

Most designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data?

This book explores the art and science of why we see objects the way we do. Based on the science of perception and vision, the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness. The book offers practical guidelines that can be applied by anyone: interaction designers, graphic designers of all kinds (including web designers), data miners, and financial analysts

Contents:

Figure Credits
Foreword
Preface
Preface to the First Edition
Chapter 1: Foundation for a Science of Data Visualization
Chapter 2: The Environment, Optics, Resolution, and the Display
Chapter 3: Lightness, Brightness, Contrast, and Constancy
Chapter 4: Color
Chapter 5: Visual attention and information that Pops Out
Chapter 6: Static and Moving Patterns
Chapter 7: Visual Objects and Data Objects
Chapter 8: Space Perception and the Display of Data in Space
Chapter 9: Images, Words, and Gestures
Chapter 10: Interacting with Visualizations
Chapter 11: Thinking with Visualization
Appendix A: Changing Primaries
Appendix B: CIE Color Measurement System
Appendix C: The Perceptual Evaluation of Visualization Techniques and Systems
Bibliography
Subject Index
Author Index
About the Author