Difference between revisions of "Information Visualization"

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{{Definition|'''Information visualization ''(InfoVis)''''' produces (interactive) visual representations of [[abstract data]] to reinforce human cognition and [[perception]]; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.}}
 
{{Definition|'''Information visualization ''(InfoVis)''''' produces (interactive) visual representations of [[abstract data]] to reinforce human cognition and [[perception]]; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.}}
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== Definitions ==
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{{Quotation|The use of computer-supported, interactive, visual representations of abstract data to amplify cognition.|[Card et al., 1998]}}
  
 
== Overview ==
 
== Overview ==
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== References ==
 
== References ==
  
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*[Card et al., 1998]: Card, S. and Mackinlay, J. and Shneiderman, B. Readings in Information Visualization: Using Vision to Think Morgan Kaufmann Publishers, 1998.
 
*[Voigt, 2002]: Robert Voigt, [http://www.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms''], 2002.
 
*[Voigt, 2002]: Robert Voigt, [http://www.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms''], 2002.
  

Revision as of 03:08, 2 June 2005

Information visualization (InfoVis) produces (interactive) visual representations of abstract data to reinforce human cognition and perception; thus enabling the viewer to gain knowledge about the internal structure of the data and causal relationships in it.

Definitions

The use of computer-supported, interactive, visual representations of abstract data to amplify cognition.
[Card et al., 1998]


Overview

Application of information visualization on the computer involves providing means to transform and represent data in a form that allows and encourages human interaction. Data can therefore be analyzed by exploration rather than pure reasoning; users can develop understanding for structures and connections in the data by observing the immediate effects their interaction has upon the visualization.

Examples

Visualization of a directory structure using a botanical model

Information visualization is applied in countless areas covering every industry and all tasks where understanding of the intrinsic structure in data is crucial.

Some prominent examples are:

  • Economical/financial analysis
  • Representation of large hierarchies
  • Medical training/assistance
  • Engineering/Physics

References

  • [Card et al., 1998]: Card, S. and Mackinlay, J. and Shneiderman, B. Readings in Information Visualization: Using Vision to Think Morgan Kaufmann Publishers, 1998.
  • [Voigt, 2002]: Robert Voigt, Classification and Definition of Terms, 2002.

External links