Abstract data: Difference between revisions
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{{Definition|'''Abstract data''' refers to ''(heterogenous)'' data that has no inherent spatial structure; thus it does not allow for a straightforward mapping to any geometry, but relies upon means provided by [[information visualization]] for its visual representation.}} | {{Definition|'''Abstract data''' refers to ''(heterogenous)'' data that has no inherent spatial structure; thus it does not allow for a straightforward mapping to any geometry, but relies upon means provided by [[information visualization]] for its visual representation.}} | ||
Therefore creating a ''[[virtual reality]] (VR)'' is essential to visualizing abstract data. To allow intuitive understanding and to find wide acceptance, virtual spaces will be based on a ''real–world analogue'' that intuitively supports human cognitive abilities. | Therefore creating a ''[[virtual reality]] (VR)'' is essential to visualizing abstract data. To allow intuitive understanding and to find wide acceptance, virtual spaces will be based on a ''real–world analogue'' that intuitively (or [[Preattentive_processing|preattentively]]) supports human cognitive abilities. | ||
== References == | == References == |
Revision as of 14:00, 19 May 2005
Abstract data refers to (heterogenous) data that has no inherent spatial structure; thus it does not allow for a straightforward mapping to any geometry, but relies upon means provided by information visualization for its visual representation.
Therefore creating a virtual reality (VR) is essential to visualizing abstract data. To allow intuitive understanding and to find wide acceptance, virtual spaces will be based on a real–world analogue that intuitively (or preattentively) supports human cognitive abilities.
References
- [Daessler, 1995]: Rolf Daessler, Visualization of Abstract Information, 1995.
- [Voigt, 2002]: Robert Voigt, Classification and Definition of Terms, 2002.