Visualization of Time-Oriented Data (Hardcover)
暫譯: 時間導向數據的可視化 (精裝版)

Aigner, Wolfgang, Miksch, Silvia, Schumann, Heidrun

  • 出版商: Springer
  • 出版日期: 2023-12-22
  • 售價: $2,580
  • 貴賓價: 9.5$2,451
  • 語言: 英文
  • 頁數: 441
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1447175263
  • ISBN-13: 9781447175261
  • 相關分類: 大數據 Big-dataData ScienceData-visualization
  • 立即出貨 (庫存=1)

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相關主題

商品描述

Time is an exceptional data dimension due to its importance and unique influence. This implies that special methods are needed for dealing with time in data sets in order to take advantage of these specifics. Visual methods are a key part of this tool set allowing for presentation, analysis, and exploration of temporal data sets.

Visualisation of Time-Oriented Data provides an overview of the field of visualisation techniques for time-oriented data, but even more importantly analyses the specifics and similarities of the investigated techniques in order to identify clusters for structuring and making the field manageable. It also analyses the techniqes uniformly along different sets of attributes making it easy to grasp their main characteristics and support researchers as well as developers in selecting appropriate techniques for their demands. The theoretic foundations of visualization itself are also discussed, the data dimension time, tasks related to time-oriented data, possible mappings of time, various examples of early (pre-computer age) representation techniques, and a conceptual framework for visually analyzing time-oriented data.

商品描述(中文翻譯)

時間是一個特殊的數據維度,因為它的重要性和獨特的影響力。這意味著在處理數據集中的時間時,需要特別的方法來利用這些特性。視覺化方法是這一工具集的關鍵部分,允許對時間數據集進行展示、分析和探索。

《時間導向數據的視覺化》提供了時間導向數據視覺化技術領域的概述,但更重要的是分析所研究技術的特點和相似性,以識別結構化和使該領域可管理的集群。它還沿著不同的屬性集統一分析這些技術,使得理解其主要特徵變得容易,並支持研究人員和開發者選擇適合其需求的技術。書中還討論了視覺化本身的理論基礎、數據維度時間、與時間導向數據相關的任務、時間的可能映射、早期(計算機時代之前)表示技術的各種例子,以及一個用於視覺分析時間導向數據的概念框架。

作者簡介

Wolfgang Aigner is the scientific director at the Institute of Creative\Media/Technologies at the St. Pölten University of Applied Sciences, Austria and adjunct professor at TU Wien, Austria. In 2013, he received his habilitation in computer science for his work on "Interactive Visualization and Data Analysis: Visual Analytics with a Focus on Time" from TU Wien. From 2006 to 2010, he was deputy head of the Department of Information and Knowledge Engineering at Danube University Krems, Austria and from 2010 to 2013, he was deputy head of the Laura Bassi Centre of Expertise for Visual Analytics Science and Technology (CVAST) at TU Wien, Austria. Dr. Aigner is an expert in information visualization and visual analytics, particularly in the context of time-oriented data, where he has authored and co-authored more than 140 scientific publications. He served as program committee member and chair for various scientific conferences and acts as associate editor for scientific journals. He has received national awards for his research work, was awarded a Top Cited Article 2005-2010 from Pergamon/Elsevier, and received a best paper honorable mention at the IEEE Conference on Visual Analytics Science and Technology (VAST). Since 2002, Wolfgang has been involved in the acquisition and execution of a number of funded basic and applied research projects at the national and international levels.

Silvia Miksch is a university professor and head of the research division "Visual Analytics" (CVAST), Institute of Visual Computing and Human-Centered Technology, TU Wien since 2015. She has been head of the Information and Knowledge Engineering research group, Institute of Software Technology & Interactive Systems, TU Wien from 1998 to 2015. From 2006 to 2010 she was university professor and head of the Department of Information and Knowledge Engineering (ike) at Danube University Krems, Austria. In April 2010 she established the awarded Laura Bassi Centre of Expertise for Visual Analytics Science and Technology (CVAST) funded by the Federal Ministry of Economy, Family and Youth of the Republic of Austria. Silvia has acquired, led, and has been involved in several national and international applied and basic research projects. She served as paper co-chair of several conferences including IEEE VAST 2010, 2011, and 2020 and overall papers chair IEEE VIS 2021 as well as EuroVis 2012, and on the editorial board of several journals including IEEE TVCG and CGF. She acts on various strategic committees, such as the VAST and EuroVis steering committees as well as the VIS executive committee. In 2020 she was inducted into the IEEE Visualization Academy. Furthermore, she acts as scientific reporter in the board of the Austrian Research Fund (FwF) and is advisory board member of the Vienna Science and Technology Fund (WWTF). She has more than 300 scientific publications and her main research interests are visualization and visual analytics over time and space with particular focus on interaction techniques, network-based, knowledge-assisted, and guidance-enriched methods.

Heidrun Schumann is a professor emeritus at the University of Rostock, Germany, where she was heading the Chair of Computer Graphics at the Institute for Visual & Analytic Computing. She received doctoral degree (Dr.-Ing.) in 1981 and post-doctoral degree (Dr.-Ing. habil.) in 1989. Her research and teaching activities cover a variety of topics related to computer graphics, including information visualization, visual analytics, and rendering. She is interested in visualizing complex data in space and time, combining visualization and terrain rendering, and facilitating visual data analysis with progressive methods. A key focus of Heidrun's work is to intertwine visual, analytic, and interactive methods for making sense of data. Heidrun published more than two hundred articles in top venues and journals. She co-authored the first German textbook on data visualization in 2000 and a textbook specifically on the visualization of time-oriented data in 2011. In 2014, Heidrun was inducted as a Fellow of the Eurographics Association. In 2020, she was awarded with the Fraunhofer Medal. In the same year, she was inducted to the IEEE Visualization Academy.

Christian Tominski is a professor at the Institute for Visual & Analytic Computing at the University of Rostock, Germany. He received doctoral (Dr.-Ing.) and post-doctoral (Dr.-Ing. habil.) degrees in 2006 and 2015, respectively. In 2021, he was granted the title of professor (apl. Prof.) for human-data interaction. His main research interests are in visualization of and interaction with data. He is particularly interested in effective and efficient visual analytics techniques for interactively exploring, analyzing, and editing complex data. Christian has published numerous papers on new visualization and interaction techniques for multivariate data, temporal data, geo-spatial data, and graph data. In his work, he emphasizes conceptual aspects and aims to systematically investigate visual analytics challenges. He co-authored three books, including a book on the visualization of time-oriented data in 2011, a book focusing on interaction for visualization in 2015, and a more general book about interactive visual data analysis in 2020. Christian is the maintainer of several visual analytics systems and visualization tools, including the LandVis system for spatio-temporal health data, the VisAxes tool for time-oriented data, the CGV system for coordinated graph visualization, the Responsive Matrix Cells for exploring and editing multivariate graphs, and the TimeViz Browser for visualization techniques for time-oriented data.

作者簡介(中文翻譯)

**Wolfgang Aigner** 是奧地利聖波爾頓應用科技大學創意媒體/技術研究所的科學主任,並擔任奧地利維也納科技大學的兼任教授。他於2013年在維也納科技大學獲得計算機科學的資格認證,研究主題為「互動視覺化與數據分析:以時間為重點的視覺分析」。從2006年到2010年,他擔任奧地利克雷姆斯多瑙大學資訊與知識工程系的副主任,並在2010年至2013年期間擔任維也納科技大學視覺分析科學與技術專家中心(CVAST)的副主任。Aigner博士是資訊視覺化和視覺分析的專家,特別是在時間導向數據的背景下,他已發表和共同發表超過140篇科學出版物。他曾擔任多個科學會議的程序委員會成員和主席,並擔任科學期刊的副編輯。他因其研究工作獲得國家獎項,並於2005年至2010年期間獲得Pergamon/Elsevier的高引用文章獎,還在IEEE視覺分析科學與技術會議(VAST)上獲得最佳論文榮譽提名。自2002年以來,Wolfgang參與了多個國內外資助的基礎和應用研究項目的獲取和執行。

**Silvia Miksch** 自2015年以來擔任維也納科技大學視覺計算與以人為中心技術研究所的「視覺分析」(CVAST) 研究部門的教授和負責人。她於1998年至2015年期間擔任維也納科技大學軟體技術與互動系統研究所的資訊與知識工程研究小組負責人。從2006年到2010年,她是奧地利克雷姆斯多瑙大學資訊與知識工程系的教授及系主任。2010年4月,她成立了由奧地利聯邦經濟、家庭與青年部資助的獲獎的視覺分析科學與技術專家中心(CVAST)。Silvia已獲得、領導並參與多個國內外的應用和基礎研究項目。她曾擔任多個會議的論文共同主席,包括IEEE VAST 2010、2011和2020,以及IEEE VIS 2021和EuroVis 2012的總論文主席,並在多個期刊的編輯委員會中任職,包括IEEE TVCG和CGF。她參與多個戰略委員會,如VAST和EuroVis指導委員會以及VIS執行委員會。2020年,她被選入IEEE視覺化學院。此外,她在奧地利研究基金會(FwF)董事會擔任科學報告員,並是維也納科學與技術基金(WWTF)的顧問委員會成員。她擁有超過300篇科學出版物,主要研究興趣為時間和空間的視覺化與視覺分析,特別關注互動技術、基於網絡的知識輔助和增強指導的方法。

**Heidrun Schumann** 是德國羅斯托克大學的名譽教授,曾在視覺與分析計算研究所擔任計算機圖形學講座主任。她於1981年獲得博士學位(Dr.-Ing.),並於1989年獲得博士後學位(Dr.-Ing. habil.)。她的研究和教學活動涵蓋與計算機圖形學相關的多個主題,包括資訊視覺化、視覺分析和渲染。她對於在空間和時間中視覺化複雜數據、結合視覺化和地形渲染,以及利用漸進方法促進視覺數據分析感興趣。Heidrun的工作重點是將視覺、分析和互動方法交織在一起,以理解數據。Heidrun在頂尖會議和期刊上發表了超過兩百篇文章。她於2000年共同編寫了第一本德語數據視覺化教科書,並於2011年編寫了一本專門針對時間導向數據視覺化的教科書。2014年,Heidrun被選為歐洲圖形學協會的院士。2020年,她獲得了Fraunhofer獎章,同年被選入IEEE視覺化學院。

**Christian Tominski** 是德國羅斯托克大學視覺與分析計算研究所的教授。他於2006年和2015年分別獲得博士學位(Dr.-Ing.)和博士後學位(Dr.-Ing. habil.)。在2021年,他獲得人數資料互動的教授(apl. Prof.)稱號。他的主要研究興趣在於數據的視覺化和互動。他特別關注有效且高效的視覺分析技術,用於互動探索、分析和編輯複雜數據。Christian在多變量數據、時間數據、地理空間數據和圖形數據的新視覺化和互動技術上發表了大量論文。在他的工作中,他強調概念方面,旨在系統性地研究視覺分析挑戰。他共同編寫了三本書,包括2011年關於時間導向數據視覺化的書籍、2015年專注於視覺化互動的書籍,以及2020年關於互動視覺數據分析的更一般性書籍。Christian是多個視覺分析系統和視覺化工具的維護者,包括用於時空健康數據的LandVis系統、用於時間導向數據的VisAxes工具、協調圖形視覺化的CGV系統、用於探索和編輯多變量圖形的Responsive Matrix Cells,以及用於時間導向數據視覺化技術的TimeViz瀏覽器。