Information Visualization. Edition No. 3. Interactive Technologies

  • ID: 2088917
  • Book
  • 536 Pages
  • Elsevier Science and Technology
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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.

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Chapter 1. Foundations for an Applied 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 Salience and Finding Information

Chapter 6. Static and Moving Patterns

Chapter 7. Space Perception

Chapter 8. Visual Objects and Data Objects

Chapter 9. Images, Narrative, and Gestures for Explanation

Chapter 10. Interacting with Visualizations

Chapter 11. Visual Thinking Processes

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Ware, Colin
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.
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