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 s
Table of Contents:
Introduction. Data Foundations. Human Perception and Information Processing. Visualization Foundations. Visualization Techniques for Spatial Data. Visualization Techniques for Geospatial 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.
About the Author :
Matthew O. Ward is professor of Computer Science at Worcester Polytechnic Institute (WPI) in Worcester, MA. He has been an associate editor for IEEE Transactions on Visualization and Computer Graphics since 2006. Georges Grinstein is professor of Computer Science at the University of Massachusetts Lowell. He is the head of the Bioinformatics Program and codirector of the Institute for Visualization and Perception Research and the Center for Biomolecular and Medical Informatics. Daniel Keim is full professor and head of the Information and Visualization and Data Analysis Research Group at the University of Konstanz, Germany. He has been an associate editor of Information Visualization since 2001 and knowledge and Information Systems since 2006.
Review :
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
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
