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  • Format: PDF

In color throughout, this popular book provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. 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. This edition includes new related readings, exercises, and programming projects; better quality figures and numerous new figures; and a new chapter on techniques for time-oriented data.

Produktbeschreibung
In color throughout, this popular book provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. 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. This edition includes new related readings, exercises, and programming projects; better quality figures and numerous new figures; and a new chapter on techniques for time-oriented data.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
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.