About the Author
Chapter One. Foundations for an Applied Science of Data Visualization
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
Chapter Two. The Environment, Optics, Resolution, and the Display
The Optimal Display
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
Chapter Four. Color
Opponent Process Theory
Properties of Color Channels
Applications of Color in Visualization
Application 1: Color Specification Interfaces and Color Spaces
Application 2: Color for Labeling (Nominal Codes)
Application 3: Color Sequences for Data Maps
Application 4: Color Reproduction
Chapter Five. Visual Salience and Finding Information
V1, Channels, and Tuned Receptors
Preattentive Processing and Ease of Search
Integral and Separable Dimensions: Glyph Design
The Searchlight Metaphor and Cortical Magnification
Chapter Six. Static and Moving Patterns
Texture: Theory and Data Mapping
Perception of Transparency: Overlapping Data
Perceiving Patterns in Multidimensional Discrete Data
The Visual Grammar of Node–Link Diagrams
The Visual Grammar of Maps</
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? When we use software, access a website, or view business or scientific graphics, our understanding is greatly enhanced or impeded by the way the information is presented.
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.
- Complete update of the recognized source in industry, research, and academic for applicable guidance on information visualizing.
- Includes the latest research and state of the art information on multimedia presentation.
- More than 160 explicit design guidelines based on vision science.
- A new final chapter that explains the process of visual thinking and how visualizations help us to think about problems.
- Packed with over 400 informative full color illustrations, which are key to understanding of the subject.
Professionals in user interface/user interaction designer; computer graphics, including those who are the techie type as well as those who are graphics designers; financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges
- No. of pages:
- © Morgan Kaufmann 2012
- 18th May 2012
- Morgan Kaufmann
- Hardcover ISBN:
- eBook ISBN:
"Oh my God, the Bible just got better. There is no book that I rely on more in my work than Information Visualization: Perception for Design, and with this third edition Colin Ware has made it more indispensible and easier to apply than ever."--Stephen Few, Principal, Perceptual Edge
"Drawing on his background in both computer science and the psychology of perception, Ware (coastal and ocean mapping, U. of New Hampshire) has become a leader in three-dimensional visualization systems, such as ocean currents and the movement of whales. For this third edition of his reference on what the science of perception reveals about visualization, he has clarified the design implications of research in perception, and increased the emphasis on the process of visual thinking. The topics include foundations for an applied science of data visualization, color, static and moving pictures, visual objects and data objects, and interacting with visualization."--Reference and Research Book News, August 2012, page 7
The author takes the "visual" in visualization very seriously. Colin Ware has advanced degrees in both computer science (MMath, Waterloo) and the psychology of perception (Ph.D., Toronto). He has published over a hundred articles in scientific and technical journals and at leading conferences, many of which relate to the use of color, texture, motion, and 3D in information visualization. In addition to his research, Professor Ware also builds useful visualization software systems. He has been involved in developing 3D interactive visualization systems for ocean mapping for over twelve years, and he directed the development of the NestedVision3D system for visualizing very large networks of information. Both of these projects led to commercial spin-offs. Professor. Ware recently moved from the University of New Brunswick in Canada to direct the Data Visualization Research Laboratory at the University of New Hampshire.
Data Visualization Research Lab, University of New Hampshire, Durham, USA