
Information Visualization
Perception for Design
Resources
Description
Key Features
- Includes the latest research findings in visualization and perception
- Provides a new chapter on designing for perception to help bridge the gap between specific perception-based guidelines and common design decisions
- Presents over 400 informative, full color illustrations that are key to an understanding of the subject
Readership
Upper level undergraduate and graduate students taking data visualization courses in computer science, computer engineering, and physics departments; professionals in user interface/user interaction design; computer graphics research scientists and engineers; data miners; and managers faced with information-intensive challenges
Table of Contents
1. Foundations for an Applied Science of Data Visualization
2. The Environment, Optics, Resolution, and the Display
3. Lightness, Brightness, Contrast, and Constancy
4. Color
5. Visual Salience and Finding Information
6. Static and Moving Patterns
7. Space Perception
8. Visual Objects and Data Objects
9. Images, Narrative, and Gestures for Explanation
10. Interacting with Visualizations
11. Visual Thinking Processes
12. Designing for Perception (new)Visual Thinking Algorithms
Visual Queries
Pathfinding on a Map or Diagram
Reasoning with a Hybrid of a Visual Display and Mental Imagery
Design Sketching
Brushing
Small Pattern Comparisons in a Large Information Space
Degree-of-Relevance Highlighting
Generalized Fisheye Views
Multidimensional Dynamic Queries with Scatter Plot
Visual Monitoring StrategiesAPPENDIX
A. Changing Primaries
B. CIE Color Measurement System
Techniques and Systems
C. Guidelines
Product details
- No. of pages: 560
- Language: English
- Copyright: © Morgan Kaufmann 2020
- Published: December 19, 2019
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780128128756
- eBook ISBN: 9780128128763