hig.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Surface Glyphs for Efficient Visualization of Multivariate Data
University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.ORCID iD: 0000-0003-0085-5829
2006 (English)In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 5, no 2, 112-124 p.Article in journal (Other academic) Published
Abstract [en]

We present a first effort to evaluate the possible utility of a new type of surface glyphs intended for visualizations of multivariate spatial data. The glyphs are based on results from vision research suggesting that our perception of metric 3D structure is distorted and imprecise relative to the actual scene before us; only a class of qualitative properties of the scene is perceived with accuracy. These properties are best characterized as being invariant over affine but not Euclidean transformations. A large number of possible 3D glyphs for the visualization of spatial data can be constructed using such properties. One group of such glyphs is based on the local sign of surface curvature. We investigated this group in two visualization experiments. The results show that available sources of 3D structural information were sufficient for our subjects to make fast and accurate judgments. Some implications for visualization are also discussed.

Place, publisher, year, edition, pages
2006. Vol. 5, no 2, 112-124 p.
Identifiers
URN: urn:nbn:se:hig:diva-1063OAI: oai:DiVA.org:hig-1063DiVA: diva2:117725
Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2015-10-06Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Seipel, Stefan
By organisation
Ämnesavdelningen för datavetenskap
In the same journal
Information Visualization

Search outside of DiVA

GoogleGoogle Scholar

Total: 157 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf