Interactive Data Visualization
Foundations, Techniques, and Applications, Second Edition
2nd Edition
Published on 31. March 2021
Book
Paperback/Softback
578 pages
978-0-367-78348-8 (ISBN)
Description
An Updated Guide to the Visualization of Data for Designers, Users, and Researchers
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.
Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques.
Web Resource: https://www.idvbook.com/A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.
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.
Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem. In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques.
Web Resource: https://www.idvbook.com/A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text. The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.
Reviews / Votes
Praise for the First Edition: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
More details
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Professional Practice & Development
Dimensions
Height: 246 mm
Width: 174 mm
Weight
1920 gr
ISBN-13
978-0-367-78348-8 (9780367783488)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Matthew O. Ward | Georges Grinstein | Daniel Keim
Interactive Data Visualization
Foundations, Techniques, and Applications, Second Edition
E-Book
06/2015
2nd Edition
A K Peters
€51.49
Available for download
Matthew O. Ward | Georges Grinstein | Daniel Keim
Interactive Data Visualization
Foundations, Techniques, and Applications, Second Edition
E-Book
06/2015
2nd Edition
CRC Press
€51.49
Available for download
Matthew O. Ward | Georges Grinstein | Daniel Keim
Interactive Data Visualization
Foundations, Techniques, and Applications, Second Edition
Book
06/2015
2nd Edition
Apple Academic Press Inc.
€141.50
Article not available for order
Persons
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.
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.
Content
Introduction. Data Foundations. Human Perception and Information Processing. Visualization Foundations. Visualization Techniques for Spatial Data. Visualization Techniques for Geospatial Data. Visualization Techniques for Time-Oriented 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. Appendices. Bibliography. Index.