Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010243222 | BF241 W34 2013 | Open Access Book | Book | Searching... |
On Order
Summary
Summary
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.
Author Notes
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.
Table of Contents
| 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 |
