Visualization Analysis and Design

Tamara Munzner

VitalSource eBook access code and instructions will be provided within the print book.

December 1, 2014 by A K Peters/CRC Press
Reference - 428 Pages - 189 Color Illustrations
ISBN 9781466508910 - CAT# K14708
Series: AK Peters Visualization Series

USD$79.95

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Features

  • Offers material for a first visualization course at the graduate or undergraduate level
  • Covers the three major data types: tables, networks, and spatial fields
  • Presents rules of thumb to guide design
  • Illustrates each design choice with concrete examples
  • Includes big picture summaries at the start of each chapter
  • Contains pointers to further reading that direct readers to more information at the end of each chapter

Summary

Learn How to Design Effective Visualization Systems

Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.

The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.

The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.