Foundations of Data Visualization
暫譯: 數據視覺化基礎

Chen, Min, Hauser, Helwig, Rheingans, Penny

Foundations of Data Visualization
  • 出版商: Springer
  • 出版日期: 2020-08-12
  • 售價: $7,920
  • 貴賓價: 9.5 折 $7,524
  • 語言: 英文
  • 頁數: 389
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3030344436
  • ISBN-13: 9783030344436
  • 相關分類: Data-visualization

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization.

Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.


商品描述(中文翻譯)

這是第一本完全專注於視覺化基本問題的書籍。與該領域其他現有書籍不同，它包含的討論遠超過單一的視覺表示和個別的視覺化演算法。它提供了一系列探討這些問題的調查性論述，從不同的角度進行分析，包括幫助框定這些問題及其潛在答案的概念、支撐這些問題科學推理的數學方法、促進潛在答案驗證和反駁的實證方法，以及激發對潛在答案假設的案例研究，同時提供這些假設的實際證據。讀者並不被指導去遵循特定的理論，而是將注意力引導到廣泛的思想流派和不同的基本問題調查方式。因此，這本書代表了目前對於數據視覺化基礎進行大量論述的最重要的集體努力。

數據視覺化是一個相對年輕的科學學科。在過去的三十年中，已經開發出大量計算機支持的視覺化技術，這些技術的優點和效益在實踐中的眾多應用中得到了證明。這些技術進步引發了對一些基本問題的科學好奇心，例如為什麼和如何進行視覺化、何時是有用或有效的，何時又不是、影響其有用性和有效性的主要因素是什麼等等。這本書標誌著一個及時且令人興奮的機會，通過建立在實踐中開發和部署視覺化技術所積累的豐富知識和經驗之上，來回答這些基本問題。

作者簡介

Dr. Min Chen developed his academic career in Wales between 1984 and 2011. He is currently the professor of scientific visualization at Oxford University and a fellow of Pembroke College. His research interests include visualization, computer graphics and human-computer interaction. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, video visualization, visual analytics, and perception and cognition in visualization. He has worked on a broad spectrum of interdisciplinary research topics, ranging from the sciences to sports, and from digital humanities to cybersecurity. His services to the research community include co-chairships of several major conferences, associate editor-in-chief of IEEE Transactions on Visualization and Computer Graphics, and editor-in-chief of Computer Graphics Forum. He is a fellow of British Computer Society, European Computer Graphics Association, and Learned Society of Wales.
Helwig Hauser is professor in visualization at the University of Bergen, Norway, and the leader of a new Center for Data Science at the same University. Since his undergraduate and graduate studies at Vienna University of Technology, Austria, where he completed his PhD in the field of visualization, he is active as a researcher, PI, reviewer, editor, conference chair, committee member, etc., and as University teacher for over 20 years. His interests include visualization in general and the interactive visual exploration and analysis of data as well as visual data science in particular. With over 200 published papers (h-index > 50) and over 100 talks (keynotes, invited talks, etc.), he is recognized for his contributions to the field. For more information, see vis.UiB.no
Penny Rheingans is Professor and Director of the School of Computing and Information Science at the University of Maine, USA. She received a Ph.D in Computer Science from the University of North Carolina, Chapel Hill and an AB in Computer Science from Harvard University. She has made seminal contributions to the areas of perceptual, illustrative, and uncertainty visualization. She was part of the Executive Committee of the Visualization Research Challenges report in 2006. She serves on the Board of Directors of the Computing Research Association (CRA). Her current research interests include the visualization of data important to increasing student success, computing pedagogy, perceptual and illustration issues in visualization, and learning analytics.
Gerik Scheuermann is full professor at the Computer Science Department at Leipzig University, Germany. He studied mathematics at TU Kaiserslautern, Germany where he also got a PhD in visualization. For more than 20 years, he is an active researcher and teacher in visualization, with more than 250 peer-reviewed publications in the field. He has been paper chair for all major conferences in visualization, co-organized major conferences, and served as associated editor for major journals. His interests include most areas of visualization with a focus on topological, mathematical, and feature-based approaches and applications in engineering, medicine, bioinformatics, environmental sciences, and digital humanities. For more information see www.informatik.uni-leipzig.de/bsv

作者簡介(中文翻譯)

陳敏博士於1984年至2011年間在威爾斯發展了他的學術生涯。他目前是牛津大學科學視覺化教授及彭布羅克學院的研究員。他的研究興趣包括視覺化、計算機圖形學和人機互動。他共同撰寫了超過200篇出版物，包括他最近在視覺化理論、視頻視覺化、視覺分析以及視覺化中的感知與認知等領域的貢獻。他在廣泛的跨學科研究主題上工作，涵蓋科學、體育、數位人文學科及網絡安全等領域。他對研究社群的貢獻包括擔任幾個主要會議的共同主席、IEEE Transactions on Visualization and Computer Graphics的副主編，以及Computer Graphics Forum的主編。他是英國計算機學會、歐洲計算機圖形學協會和威爾斯學術學會的研究員。

海爾維格·豪瑟（Helwig Hauser）是挪威卑爾根大學的視覺化教授，並且是該大學新成立的數據科學中心的負責人。自從在奧地利維也納科技大學完成本科和研究生學業後，他在視覺化領域獲得博士學位，並活躍於研究、主要研究者、審稿人、編輯、會議主席、委員會成員等職位，並擔任大學教師超過20年。他的興趣包括一般的視覺化以及數據的互動視覺探索和分析，特別是視覺數據科學。他發表了超過200篇論文（h-index > 50）和超過100場演講（主題演講、受邀演講等），因其對該領域的貢獻而受到認可。更多資訊請參見 vis.UiB.no。

佩妮·萊因根斯（Penny Rheingans）是美國緬因大學計算與資訊科學學院的教授及主任。她在北卡羅來納大學教堂山分校獲得計算機科學博士學位，並在哈佛大學獲得計算機科學學士學位。她在感知、插圖和不確定性視覺化領域做出了開創性貢獻。她曾是2006年視覺化研究挑戰報告的執行委員會成員。她在計算研究協會（CRA）的董事會任職。她目前的研究興趣包括視覺化對提高學生成功的重要數據、計算教學法、視覺化中的感知和插圖問題，以及學習分析。

傑里克·謝爾曼（Gerik Scheuermann）是德國萊比錫大學計算機科學系的全職教授。他在德國凱瑟斯勞滕科技大學學習數學，並在該校獲得視覺化博士學位。超過20年來，他一直是視覺化領域的活躍研究者和教師，擁有超過250篇同行評審的出版物。他曾擔任所有主要視覺化會議的論文主席，並共同組織主要會議，擔任主要期刊的副編輯。他的興趣包括視覺化的各個領域，特別專注於拓撲學、數學和基於特徵的方法及其在工程、醫學、生物信息學、環境科學和數位人文學科中的應用。更多資訊請參見 www.informatik.uni-leipzig.de/bsv。

類似商品

最後瀏覽商品 (20)