Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition
暫譯: 互動式數據視覺化：基礎、技術與應用（第二版）

Ward, Matthew O., Grinstein, Georges, Keim, Daniel

Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition
  • 出版商: A K Peters
  • 出版日期: 2021-03-31
  • 售價: $2,360
  • 貴賓價: 9.5 折 $2,242
  • 語言: 英文
  • 頁數: 578
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367783487
  • ISBN-13: 9780367783488
  • 相關分類: Data-visualization

    • 海外代購書籍(需單獨結帳)

買這商品的人也買了...

商品描述

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.

商品描述(中文翻譯)

設計師、使用者和研究者的數據視覺化更新指南

 

 

互動數據視覺化：基礎、技術與應用（第二版）提供了構建視覺化和涉及數據視覺化系統所需的所有理論、細節和工具。本書全彩印刷，解釋了基本術語和概念、算法和軟體工程問題，以及常用技術和高階算法。提供完整的源代碼以完成實作。

 

第二版的新內容


  • 新增相關閱讀、練習和程式設計專案



  • 更高品質的圖形和多個新圖形



  • 新增有關時間導向數據的技術章節

 

這本受歡迎的書籍繼續探討視覺化過程的基本組成部分，從數據到人類觀眾。對於開發者，本書提供了使用源自人類感知、圖形設計、藝術和可用性分析的方法來設計有效視覺化的指導。對於實務工作者，它展示了各種公共和商業視覺化系統如何用於解決不同領域的特定問題。對於研究人員，文本描述了當前學術和工業中心正在開發的新興技術和熱門主題。

 

 

每一章都提供幾種類型的練習，包括回顧問題和激勵讀者基於所涵蓋的材料進行擴展的問題設計替代解決方案。此外，程式設計專案鼓勵讀者執行一系列任務，從簡單的算法實作到算法和程式設計技術的擴展。

網路資源

一個補充網站包括可下載的軟體工具和示例數據集，使讀者能夠親身體驗文本中涵蓋的技術。該網站還提供有用的數據庫和數據文件格式的鏈接、最新的軟體包和供應商列表，以及教學工具，如閱讀清單、講義幻燈片和演示程式。

作者簡介

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.

作者簡介(中文翻譯)

馬修·O·沃德是伍斯特理工學院計算機科學系的教授。沃德博士的研究專注於計算機圖形學、動畫、圖像處理、計算機視覺以及數據和信息可視化。

喬治·格林斯坦是馬薩諸塞大學洛威爾分校計算機科學系的教授，並擔任可視化與感知研究所及生物分子與醫學信息學中心的主任。格林斯坦博士的研究範疇包括視覺分析、人類計算、感知計算、信息計算以及可視化系統工程。

丹尼爾·凱姆是康斯坦茨大學計算機與信息科學系的教授，並負責數據分析與可視化小組。凱姆博士的研究興趣包括數據庫、數據挖掘、信息可視化以及視覺分析。

類似商品

最後瀏覽商品 (9)