Overview
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 spectrum of the field, including mathematical and analytical aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques. Sample programs are provided as starting points for building one's own visualization tools. Numerous data sets have been made available that highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods. Exercises, programming projects, and related readings are given for each chapter. The book concludes with an examination of several existing visualization systems and projections on the future of the field.
Full Product Details
Author: Matthew O. Ward ,
Georges Grinstein ,
Daniel Keim
Publisher: Taylor & Francis Inc
Imprint: A K Peters
Dimensions:
Width: 18.70cm
, Height: 2.30cm
, Length: 23.50cm
Weight: 1.225kg
ISBN: 9781568814735
ISBN 10: 1568814739
Pages: 513
Publication Date: 14 June 2010
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Tertiary & Higher Education
Replaced By: 9781482257373
Format: Hardback
Publisher's Status: Out of Stock Indefinitely
Availability: In Print
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.
Reviews
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 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
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, Editor-in-Chief, The Midwest Book Review, August 2010
Author Information
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.
