Descripciones mejoradas de Syndetics:

Information Visualization is the major revision of a classic work on information visualization. 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. This is the first work to use the science of perception to help serious designers and analysts optimize understanding and perception of their data visualizations.

This unique and essential guide to human visual perception and related cognitive principles will enrich courses on information visualization and empower designers to see their way forward. Its updated review of empirical research and interface design examples will do much to accelerate innovation and adoption of information visualization. New to this edition are a new chapter on visual thinking, new sections on face perception and flow visualization, and a much-expanded chapter on color and color sequences.

This book will appeal to interaction designers; graphic designers of all kinds (including web designers); financial analysts; research scientists and engineers; data miners; and managers faced with information-intensive challenges.

Tabla de contenidos provista por Syndetics

• Figure Credits(p. xv)
• Foreword(p. xvii)
• Preface(p. xix)
• Preface to the First Edition(p. xxi)
• Chapter 1 Foundation for a Science of Data Visualization(p. 1)
• Visualization Stages(p. 4)
• Experimental Semiotics Based on Perception(p. 5)
• A Model of Perceptual Processing(p. 20)
• Types of Data(p. 23)
• Metadata(p. 26)
• Conclusion(p. 27)
• Chapter 2 The Environment, Optics, Resolution, and the Display(p. 29)
• The Environment(p. 30)
• The Eye(p. 38)
• The Optimal Display(p. 62)
• Conclusion(p. 67)
• Chapter 3 Lightness, Brightness, Contrast, and Constancy(p. 69)
• Neurons, Receptive Fields, and Brightness Illusions(p. 70)
• Luminance, Brightness, Lightness, and Gamma(p. 80)
• Conclusion(p. 93)
• Chapter 4 Color(p. 97)
• Trichromacy Theory(p. 98)
• Color Blindness(p. 99)
• Color Measurement(p. 100)
• CIE System of Color Standards(p. 103)
• Opponent Process Theory(p. 110)
• Color Appearance(p. 116)
• Applications of Color in Visualization(p. 119)
• Conclusion(p. 143)
• Chapter 5 Visual Attention and Information that Pops Out(p. 145)
• Searching the Visual Field(p. 146)
• Reading from the Iconic Buffer(p. 147)
• Neural Processing, Graphemes, and Tuned Receptors(p. 159)
• The Gabor Model and Texture in Visualization(p. 161)
• Texture Coding Information(p. 164)
• Glyphs and Multivariate Discrete Data(p. 176)
• Conclusion(p. 185)
• Chapter 6 Static and Moving Patterns(p. 187)
• Gestalt Laws(p. 189)
• More on Contours(p. 198)
• Perception of Transparency: Overlapping Data(p. 205)
• The Perceptual Syntax of Diagrams(p. 210)
• Patterns in Motion(p. 217)
• Conclusion(p. 225)
• Chapter 7 Visual Objects and Data Objects(p. 227)
• Image-Based Object Recognition(p. 228)
• Structure-Based Object Recognition(p. 233)
• Faces(p. 237)
• The Object Display and Object-Based Diagrams(p. 239)
• Perceiving the Surface Shapes of Objects(p. 243)
• Cushion Maps(p. 255)
• Integration(p. 255)
• Conclusion(p. 257)
• Chapter 8 Space Perception and the Display of Data in Space(p. 259)
• Depth Cue Theory(p. 259)
• Task-Based Space Perception(p. 283)
• Conclusion(p. 294)
• Chapter 9 Images, Words, and Gestures(p. 297)
• Coding Words and Images(p. 297)
• The Nature of Language(p. 299)
• Visual and Spoken Language(p. 301)
• Animated Visual Languages(p. 312)
• Conclusion(p. 315)
• Chapter 10 Interacting with Visualizations(p. 317)
• Data Selection and Manipulation Loop(p. 318)
• Exploration and Navigation Loop(p. 325)
• Conclusion(p. 349)
• Chapter 11 Thinking with Visualizations(p. 351)
• Memory Systems(p. 352)
• Eye Movements(p. 363)
• Problem Solving with Visualizations(p. 370)
• Creative Problem Solving(p. 383)
• Conclusion(p. 385)
• Appendix A Changing Primaries(p. 387)
• Appendix B CIE Color Measurement System(p. 389)
• Appendix C The Perceptual Evaluation of Visualization Techniques and Systems(p. 393)
• Research Goals(p. 393)
• Psychophysics(p. 394)
• Cognitive Psychology(p. 397)
• Structural Analysis(p. 398)
• Statistical Exploration(p. 400)
• Cross-Cultural Studies(p. 401)
• Child Studies(p. 401)
• Practical Problems in Conducting User Studies(p. 402)
• Bibliography(p. 405)
• Subject Index(p. 451)
• Author Index(p. 479)
• About the Author(p. 485)

Notas de autor provistas por Syndetics

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.