Interactive Data Visualization: Foundations, Techniques, and Applications

Visualization is the process of representing data, information, and knowledge in a visual form to support the tasks of exploration, confirmation, presentation, and understanding. This book is designed as a textbook for students, researchers, analysts, professionals, and designers of visualization techniques, tools, and systems. It covers the full spectrum of the field, including mathematical and analytical aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques.

Sample programs are provided as starting points for building one’s own visualization tools. Numerous data sets have been made available that highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods. Exercises, programming projects, and related readings are given for each chapter. The book concludes with an examination of several existing visualization systems and projections on the future of the field.

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 Multivariate Data
Chapter 8 Visualization Techniques for Trees, Graphs, and Networks
Chapter 9 Text and Document Visualization
Chapter 10 Interaction Concepts
Chapter 11 Interaction Techniques
Chapter 12 Designing Effective Visualizations
Chapter 13 Comparing and Evaluating Visualization Techniques
Chapter 14 Visualization Systems
Chapter 15 Research Directions in Visualization
Appendix A History of Computer Graphics and Visualization
Appendix B Example Data Sets
Appendix C Sample Programs