| 商家名称 | 信用等级 | 购买信息 | 订购本书 |
 |
 |
Data Visualization: Principles and Practice, Second Edition |  |
 |
|
Data Visualization: Principles and Practice, Second Edition | |
Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more.
Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization.
See What’s New in the Second Edition:
Additional visualization algorithms and techniques New examples of combined techniques for diffusion tensor imaging (DTI) visualization, illustrative fiber track rendering, and fiber bundling techniques Additional techniques for point-cloud reconstruction Additional advanced image segmentation algorithms Several important software systems and libraries
Algorithmic and software design issues are illustrated throughout by (pseudo)code fragments written in the C++ programming language. Exercises covering the topics discussed in the book, as well as datasets and source code, are also provided as additional online resources.
媒体推荐"… an ideal textbook for academic course work and should be an integral part of all academic library instructional reference collections."
―Michael J. Carson, Midwest Book Review, December 2014
Introduction. Computer Graphics and Visualization. Discrete Data Representation in (Scientific) Visualization Applications. Visualization Pipeline. Fundamental Techniques for Scalar Visualization. Vector Visualization Techniques. Tensor Visualization Techniques. Domain Modeling Techniques. Scientific Visualization and Signal/Image Processing. Scalar Visualization. Information Visualization (Infovis) Techniques. The Value and Price of Visualization. Challenges and Prospects of the Visualization Field. Appendix.
网友对Data Visualization: Principles and Practice, Second Edition的评论
送来是用气泡袋装的，书外面有塑料封着，书的封皮边角有磕碰的痕迹。
书内容很细致，介绍也很系统，对不同类型数据的可视化介绍也很详细。需要一定的高等数学基础才能读下来。
最大的问题是第一章有一部分印重复了，找了半天第一章的起始页没找到才发现，不满意。
Tradicional and good presentation about data visualization, with the necessary upgrades
Data visualization specialists use math, computer science and physics to create images that improve understanding of data sets, and this introductory text, perfect for college-level computer libraries and classroom assignment alike, offers a basic introduction to the field and its various visualization techniques. Here are cross-disciplinary keys to understanding such sets and how imaging and computer graphics works, with chapters blending math formulas with imaging techniques and specs. An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques.
Diane C. Donovan
California Bookwatch
喜欢Data Visualization: Principles and Practice, Second Edition请与您的朋友分享,由于版权原因，读书人网不提供图书下载服务
