【2015新书】Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition

Book 图书名称：Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition
Author 作者： Matthew O. Ward, Georges Grinstein, Daniel Keim
Publisher 出版社：A K Peters/CRC Press
Page 页数： 571
Publishing Date 出版时间：Apr 17, 2015
Language 语言：English
Size 大小：24MB
Format 格式：pdf 文字版
ISBN:1482257378, 9781482257373
Edition: 第2版搜索过论坛，没有该文档


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
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.

== Table of contents ==
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