Visual Variables: Difference between revisions

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== Characteristics ==
== Characteristics ==
* Selective
* Selective
If a mark changes in this variable and it can be selected by the other marks easily the visual variable is said to be selective.
If a mark changes in this variable and it can be selected by the other marks easily the visual variable is said to be selective.
* Associative
* Associative
   
   
* Quantitative
* Quantitative
If the differnce between two marks in this variable can be interpreted numerical, the visual variable is quantitative
If the differnce between two marks in this variable can be interpreted numerical, the visual variable is quantitative
* Order
* Order
If the variable supports ordered reading it is an ordered visual variable. This means that a change could be read as more or less. e.g. in size you can order according to the area of the marks
If the variable supports ordered reading it is an ordered visual variable. This means that a change could be read as more or less. e.g. in size you can order according to the area of the marks
* Length
* Length
The length defines how many values the variable features. For example how many shades of grey can be recognised
The length defines how many values the variable features. For example how many shades of grey can be recognised
 


== References ==
== References ==

Revision as of 17:46, 29 October 2006

Basic Definiton

Jaques Bertin defined seven Visual Variables [Bertin, 1967] consisting of:

  • Position
  • Size
  • Shape
  • Value
  • Color
  • Orientation
  • Texture

Since information is presented by computers, the addition of motion as a new visual variable gets important.

Characteristics

  • Selective

If a mark changes in this variable and it can be selected by the other marks easily the visual variable is said to be selective.

  • Associative
  • Quantitative

If the differnce between two marks in this variable can be interpreted numerical, the visual variable is quantitative

  • Order

If the variable supports ordered reading it is an ordered visual variable. This means that a change could be read as more or less. e.g. in size you can order according to the area of the marks

  • Length

The length defines how many values the variable features. For example how many shades of grey can be recognised

References

  • Proceedings
[Bertin, 1967] Bertin, Jaques: "Sémiologie Graphique". Paris: Editions Gauthier-Villars. Deutsche Übersetzung von Jensch, G.; Schade, D.; Scharfe, W.: Graphische Semiologie.Diagramme – Netze - Karten. Berlin: Walter de Gruyter, 1974.
[Skupin, 2000] Skupin, A: "From Metaphor to Method: Cartographic Perspectives on Information Visualization" IEEE Symposium on Information Visualization. October 9-10, 2000, Salt Lake City, Utah.
[Carpendale, 2003] M. S. T. Carpendale: "Considering Visual Variables as a Basis for Information Visualisation", University of Calgary, Department of Computer Science, 2001-693-16, 2003