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Simple 3D Glyphs for Spatial Multivariate Data
Högskolan i Gävle, Institutionen för matematik, natur- och datavetenskap, Ämnesavdelningen för datavetenskap.ORCID-id: 0000-0003-0085-5829
2005 (engelsk)Inngår i: Proceedings of the IEEE Symposium on Information Visualization – Infovis 2005, 2005, s. 119-124Konferansepaper, Publicerat paper (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
2005. s. 119-124
Identifikatorer
URN: urn:nbn:se:hig:diva-1064OAI: oai:DiVA.org:hig-1064DiVA, id: diva2:117726
Konferanse
The IEEE Symposium on Information Visualization (InfoVis 05), 23-25 Oktober 2005, Minneapolis, USA
Tilgjengelig fra: 2007-12-13 Laget: 2007-12-13 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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