<p><strong>Praise for the First Edition:</strong></p><p><strong>A 2010 <em>CHOICE </em>Outstanding Academic Title</strong></p><p>"College-level collections strong in concepts and theory surrounding data visualization will find <strong>Interactive Data Visualization: Foundations, Techniques, and Applications</strong> 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."<br />—<em>The Midwest Book Review</em>, August 2011</p><p>"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, <strong>Interactive Data Visualization</strong> is a solid text to have on hand for any community or college library collection."<br />—James A. Cox, <em>The Midwest Book Review</em>, August 2010</p>
Produktdetaljer
Om bidragsyterne
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.
Daniel Keim is a professor in the Department of Computer and Information Science and head of the Data Analysis and Visualization group at the University of Konstanz. Dr. Keim’s research interests include databases, data mining, information visualization, and visual analytics.