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Simple 3D Glyphs for Spatial Multivariate Data
University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.ORCID iD: 0000-0003-0085-5829
2005 (English)In: Proceedings of the IEEE Symposium on Information Visualization – Infovis 2005, 2005, 119-124 p.Conference paper, Published paper (Other academic)
Abstract [en]

We present an effort to evaluate the possible utility of a new type of 3D glyphs intended for visualizations of multivariate spatial data. They 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 (e.g., [1]); 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. They are related, but not identical to, the non-accidental properties (NAPs) described by Lowe [2] on which the notion of geons is based [3]. A large number of possible 3D glyphs for the visualization of spatial data can be constructed using such properties. One group is based on the local sign of surface curvature. We investigated these properties in a visualization experiment. The results are promising and the implications for visualization are discussed.

Place, publisher, year, edition, pages
2005. 119-124 p.
Identifiers
URN: urn:nbn:se:hig:diva-1064OAI: oai:DiVA.org:hig-1064DiVA: diva2:117726
Conference
The IEEE Symposium on Information Visualization (InfoVis 05), 23-25 Oktober 2005, Minneapolis, USA
Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2015-10-06Bibliographically approved

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http://ieeexplore.ieee.org/Xplore/login.jsp?url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F10260%2F32681%2F01532137.pdf%3Farnumber%3D1532137&authDecision=-201

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
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Language
  • sv-SE
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  • Other locale
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Output format
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