Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd Edition

An Updated Guide to the Visualization of Data for Designers, Users, and Researchers

Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations.

New to the Second Edition

• New related readings, exercises, and programming projects
• Better quality figures and numerous new figures
• New chapter on techniques for time-oriented data

This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis. For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today.

Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques.

Web Resource
A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.

Table of Contents

CHAPTER 1 – Introduction
CHAPTER 2 – Data Foundations
CHAPTER 3 – Human Perception and Information Processing
CHAPTER 4 – Visualization Foundations
CHAPTER 5 – Visualization Techniques for Spatial Data
CHAPTER 6 – Visualization Techniques for Geospatial Data
CHAPTER 7 – Visualization Techniques for Time-Oriented Data
CHAPTER 8 – Visualization Techniques for Multivariate Data
CHAPTER 9 – Visualization Techniques for Trees, Graphs, and Networks
CHAPTER 10 – Text and Document Visualization
CHAPTER 11 – Interaction Concepts
CHAPTER 12 – Interaction Techniques
CHAPTER 13 – Designing Effective Visualizations
CHAPTER 14 – Comparing and Evaluating Visualization Techniques
CHAPTER 15 – Visualization Systems
CHAPTER 16 – Research Directions in Visualization
APPENDIX A – History of Computer Graphics and Visualization
APPENDIX B – Example Data Sets
APPENDIX C – Sample Programs