Abstract data: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 7: | Line 7: | ||
*[Daessler, 1995]: Rolf Daessler, [http://fabdp.fh-potsdam.de/daessler/paper/uom0595/tut.html ''Visualization of Abstract Information''], 1995. | *[Daessler, 1995]: Rolf Daessler, [http://fabdp.fh-potsdam.de/daessler/paper/uom0595/tut.html ''Visualization of Abstract Information''], 1995. | ||
*[Voigt, 2002]: Robert Voigt, [http://www.vrvis.at/ | *[Voigt, 2002]: Robert Voigt, [http://www.vrvis.at/via/resources/DA-RVoigt/masterthesis.html An Extended Scatterplot Matrix and Case Studies in Information Visualization], Master's thesis, Hochschule Magdeburg-Stendal, 2002, [http://www.vrvis.at/vis/resources/DA-RVoigt/node4.html ''Classification and Definition of Terms''] | ||
[[Category: Glossary]] | [[Category: Glossary]] | ||
Revision as of 12:33, 12 October 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.
Information visualization is visualization of abstract data. This is data that has no inherent mapping to space. Examples for abstract data are the results of a survey or a database of the staff of a company containing names, addresses, salary and other attributes.
[Voigt, 2002]
References
- [Daessler, 1995]: Rolf Daessler, Visualization of Abstract Information, 1995.
- [Voigt, 2002]: Robert Voigt, An Extended Scatterplot Matrix and Case Studies in Information Visualization, Master's thesis, Hochschule Magdeburg-Stendal, 2002, Classification and Definition of Terms