Description
Book SynopsisAn 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 vi
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Praise for the First Edition:
A 2010 CHOICE Outstanding Academic Title
"College-level collections strong in concepts and theory surrounding data visualization will find Interactive Data Visualization: Foundations, Techniques, and Applications to be a powerful addition, covering all the details and tools needed for building visualizations around data. From math and statistical graphs to cartography and scientific displays, this offers plenty of details for creating visual displays of data, offering color illustrations throughout and plenty of refinement details."
—The Midwest Book Review, August 2011
"With chapters on elaborating on the importance of visualization, understanding the data without it, the relation to the human eyes and mind, what technology has brought in the avenues of displaying and interacting data, no concept is really left untouched. Enhanced with example data, samples, a history of computer graphics, and more, Interactive Data Visualization is a solid text to have on hand for any community or college library collection."
—James A. Cox, The Midwest Book Review, August 2010
Table of ContentsIntroduction. Data Foundations. Human Perception and Information Processing. Visualization Foundations. Visualization Techniques for Spatial Data. Visualization Techniques for Geospatial Data. Visualization Techniques for Time-Oriented Data. Visualization Techniques for Multivariate Data. Visualization Techniques for Trees, Graphs, and Networks. Text and Document Visualization. Interaction Concepts. Interaction Techniques. Designing Effective Visualizations. Comparing and Evaluating Visualization Techniques. Visualization Systems. Research Directions in Visualization. Appendices. Bibliography. Index.
