InfoVis:Wiki - User contributions [en]

Visual Analytics

2011-08-15T07:20:25Z

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{{Definition|'''Visual analytics''' is the science of analytical reasoning facilitated by interactive visual interfaces. [Thomas and Cook, 2005]}}

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{{Quotation|People use visual analytics tools and techniques to synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessment effectively for action.
 Visual analytics is a multidisciplinary field that includes the following focus areas: 
*analytical reasoning techniques that let users obtain deep insights that directly support assessment, planning, and decision making;
*visual representations and interaction techniques that exploit the human eye’s broad bandwidth pathway into the mind to let users see, explore, and understand large amounts of information simultaneously;
*data representations and transformations that convert all types of conflicting and dynamic data in ways that support visualization and analysis; and
*techniques to support production, presentation, and dissemination of analytical results to communicate information in the appropriate context to a variety of audiences.
|[Thomas and Cook, 2005, 2006]}}

[[Image:Keim06visual-analytics-disciplines.png|right|thumb|300px|Visual analytics as a highly interdisciplinary field of research. [Keim et al., 2006]]]
{{Quotation|'''Visual analytics''' is more than just visualization and can rather be seen as an integrated approach combining [[visualization]], [[human factors]] and [[data analysis]]. ... With respect to the field of [[visualization]], visual analytics integrates methodology from information analytics, geospatial analytics, and scientific analytics. Especially human factors (e.g., interaction, cognition, perception, collaboration, presentation, and dissemination) play a key role in the communication between human and computer, as well as in the decisionmaking process.|[Keim et al., 2006]}}

{{Quotation|Visual analytics is the formation of abstract visual metaphors in combination with a human information discourse (usually some form of interaction) that enables detection of the expected and discovery of the unexpected within massive, dynamically changing information spaces. It is an outgrowth of the fields of scientific and information visualization but includes technologies from many other fields, including knowledge management, statistical analysis, cognitive science, decision science, and others. This marriage of computation, visual representation, and interactive thinking supports intensive analysis. The goal is not only to permit users to detect expected events, such as might be predicted by models, but also to help users discover the unexpected—the surprising anomalies, changes, patterns, and relationships that are then examined and assessed to develop new insight.|[Cook et al., 2007]}}

== Related Links ==
*[http://vadl.cc.gatech.edu/ Visual Analytics Digital Library]
*[http://www.cs.umd.edu/hcil/semvast/ SEMVAST] Scientific Evaluation Methods for Visual Analytics Science and Technology - Resource on Visual Analytics Evaluation

== Visual Analytics @ YouTube ==
*[http://www.youtube.com/watch?v=5i3xbitEVfs March 15, 2010 — VisMaster - Mastering the Information Age] What is Visual Analytics and why is it important for Europe to fund Research in this new domain?
*[http://www.youtube.com/watch?v=2CMw4i9DiaM December 16, 2008 — Jigsaw] Using visualization and visual analytics to help investigative analysis and sensemaking.
*[http://www.youtube.com/watch?v=cVL2Y6nfGiM November 03, 2008 — Mikael Jern on Visual Analytics] Visual Analytics Center, OECD Explorer
*[http://www.youtube.com/watch?v=5uGRGqCFryg July 10, 2007 — Why Visual Analytics? - A conversation] A series of interviews to some of most known people in Visual Analytics, the science of reasoning through visualization
*[http://www.youtube.com/watch?v=m_TQZwYL7MY December 12, 2006 — Visual Analytics Show segment from "BusinessNOW" on Maryland Public Television]

== Basic Literature ==
=== Books ===
* J.J. Thomas and K.A. Cook (Eds.), [http://nvac.pnl.gov/agenda.stm Illuminating the Path: The Research and Development Agenda for Visual Analytics]. IEEE Press, 2005.
* Daniel Keim, Jörn Kohlhammer, Geoffrey Ellis and Florian Mansmann (Eds.), [http://www.vismaster.eu/book/ Mastering the Information Age – Solving Problems with Visual Analytics], Eurographics Association, 2010.
=== Papers ===
* J.J. Thomas and K.A. Cook, [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1573625 "A Visual Analytics Agenda,"] ''IEEE Computer Graphics & Applications'', vol. 26, pp. 10-13, 2006.
* Pak Chung Wong and J. Thomas, [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1333623 "Visual Analytics,"] ''IEEE Computer Graphics & Applications'', vol. 24, pp. 20-21, 2004.
* Daniel Keim, Gennady Andrienko, Jean-Daniel Fekete, Carsten Görg, Jörn Kohlhammer, and Guy Melancon. 2008. [http://infovis.uni-konstanz.de/papers/2007/Dagstuhl2007VisualAnalyticsfinal.pdf "Visual Analytics: Definition, Process, and Challenges."] In Information Visualization, Andreas Kerren, John T. Stasko, Jean-Daniel Fekete, and Chris North (Eds.). Lecture Notes In Computer Science, Vol. 4950. Springer-Verlag, Berlin, Heidelberg 154-175
* J. Thomas, [http://portal.acm.org/citation.cfm?id=1292429 "Visual analytics: a grand challenge in science: turning information overload into the opportunity of the decade,"] ''Journal of Computing Sciences in Colleges'', vol. 23, pp. 5-6, 2007.

== References ==
*[Cook et al., 2007] Cook, Kris; Earnshaw, Rae; Stasko, John, Guest Editors' Introduction: Discovering the Unexpected, ''Computer Graphics and Applications'', 27(5):15-19, IEEE, Sept.-Oct. 2007.
*[Keim et al., 2006] Keim, D.A.; Mansmann, F. and Schneidewind, J. and Ziegler, H., Challenges in Visual Data Analysis, Proceedings of Information Visualization (IV 2006), IEEE, p. 9-16, 2006.
*[Thomas and Cook, 2005] J.J. Thomas and K.A. Cook, eds., [http://nvac.pnl.gov/agenda.stm Illuminating the Path: The Research and Development Agenda for Visual Analytics], IEEE CS Press, 2005.
*[Thomas and Cook, 2006] James J. Thomas and Kristin A. Cook., ''IEEE Computer Graphics and Applications'', 26(1):10-13, January/February, 2006.

[[Category: Glossary]]

Category:Interaction Techniques

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The following interaction techniques are used in information visualization to overcome various limitations in screen real estate and bounded coginition.

== References ==
*[Shneiderman, 1996] Ben Shneiderman, The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In ''Proceedings of the IEEE Symposium on Visual Languages'', pages 336-343, Washington. IEEE Computer Society Press, 1996.
*[Leung and Apperley, 1994] Y. K. Leung and M. D. Apperley. A review and taxonomy of distortion-oriented presentation techniques. ''ACM Transactions Computer-Human Interaction'', 1(2):126-160, June 1994.
*[Yi et al., 2007] Yi, J. S., Kang, Y. A., Stasko, J., & Jacko, J. A. (2007). Toward a Deeper Understanding of the Role of Interaction in Information Visualization. ''IEEE Transactions on Visualization and Computer Graphics (TVCG)'', 13(6). Presented in InfoVis 2007, Sacramento, California, October 28 - November 1, 1224-1231.

[[Category: Techniques]]

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Category:Publications

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{{RecentPublications}}

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Category:Institutions

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[[Category:Research and Education]]
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Category:Coffee Room

2011-08-15T07:09:52Z

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[[Image:Mestres05coffeeroom.jpg|right|||]]
<div style="color:#ec5210;text-align:right;font-size:120%;">'''Idea Space :: Play Space :: General Discussion Area :: Suggestions :: Proposals :: Questions :: Requests :: Comments'''</div>

This category is intended to be a communication space for topics related to [[Information Visualization]]. Feel free to start a discussion with a new page in this category!

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Aigner, Wolfgang

2011-08-15T07:05:29Z

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[[Image:Iwolf.jpg]][[Image:Duk-logo 250x250.png|right|95px]][[Image:Ike-logo-schrift 385x35.png|right]]
dipl.-ing. dr. 
<big>'''WOLFGANG AiGNER'''</big>

[http://www.donau-uni.ac.at/ Danube University Krems] 
[http://ike.donau-uni.ac.at Department of Information & Knowledge Engineering (ike)] 
Dr.-Karl-Dorrek-Str. 30, A-3500 Krems, Austria, Europe

T: +43 (2732) 893-2452 
F: +43 (2732) 893-4450

E: wolfgang.aigner (at) donau-uni.ac.at 
W: http://ike.donau-uni.ac.at/~aigner/ :: teaching@vienna university of technology: http://www.ifs.tuwien.ac.at/~aigner/

''' Wolfgang Aigner ''' is scientific researcher at the [http://www.donau-uni.ac.at/de/studium/department/ike/ Department of Information & Knowledge Engineering (ike)], [http://www.donau-uni.ac.at/ Danube University Krems] and lecturer at the [http://ieg.ifs.tuwien.ac.at Information Engineering Group (ieg)] of the [http://www.isis.tuwien.ac.at/ Institute of Software Technology & Interactive Systems (ISIS)] at [http://www.tuwien.ac.at Vienna University of Technology].

His main research interests include Information Visualization (in particular visual dataexploration, focus+context techniques, and high-interaction user interfaces), Human-Computer Interaction (HCI), and User Centered Design

== Projects ==
*[[TimeViz]]
*[[CareVis]]
*[[GOT]]

== External links ==

*[http://ike.donau-uni.ac.at/~aigner/ Wolfgang Aigner's Home Page]

[[Category:Persons]]
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