About the Book:

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.

Features

·         Covers the full range of data Visualizations, including mathematical and statistical graphs, cartography for displaying geographic information, two-and three-dimensional scientific displays, and general information visualization techniques

·         Discusses implementation and language issues, performance demands and limitations, and application requirements and results

·         Describes how visualization are used in knowledge discovery, problem solving, visual analytics, and other application areas, enabling visualization system users to select appropriate tools for their tasks

·         Explores directions for current and future research

·         Presents many exercise and programming projects at the end of each chapter

·         Offers a wealth of ancillary materials on the book’s website, including software tools and example data sets

Contents:

1.    Introduction

2.    Data Foundations

3.    Human Perception and Information Processing

4.    Visualization Foundations

5.    Visualization Techniques for Spatial Data

6.    Visualization Techniques for Geospatial Data

7.    Visualization Techniques for Time-Oriented Data

8.    Visualization Techniques for Multivariate Data

9.    Visualization Techniques for Trees, Graphs, and Networks

10. Text and Document Visualization

11. Interaction Concepts

12. Interaction Techniques

13. Designing Effective Visualizations

14. Comparing and Evaluating Visualization Techniques

15. Visualization Systems

16. Research Directions in Visualization

About the Authors:

Matthew O. Ward was a professor in the Department of Computer Science at Worcester Polytechnic Institute. Dr. Ward’s research focused on computer graphics, animation, image processing, computer vision, and data and information visualization.

Georges Grinstein is a professor in the Department of Computer Science and director of both the Institute for Visualization and Perception Research and the Center for Biomolecular and Medical Informatics at the University of Massachusetts Lowell. Dr. Grinstein’s research encompasses visual analytics, human computing, perceptual computing, information computing, and visualization systems engineering.