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Auteur J. Kardos |
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Exploring the hidden potential of common spatial data models to visualize uncertainty / J. Kardos in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)
[article]
Titre : Exploring the hidden potential of common spatial data models to visualize uncertainty Type de document : Article/Communication Auteurs : J. Kardos, Auteur ; Antoni B. Moore, Auteur ; G.L. Benwell, Auteur Année de publication : 2005 Article en page(s) : pp 359 - 367 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] arbre quadratique
[Termes IGN] incertitude des données
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] structure de données localisées
[Termes IGN] visualisationRésumé : (Auteur) Common Spatial Data Models (SDMs) such the vector, raster, and quadtree have well understood and widely practiced conventions of storage and visualization. This paper explores what happens when the conventions of visualization are not strictly adhered to, and the SDMs are used in an atypical fashion. A framework based on a quasi similarity measure is presented, which quantifies (in terras of "distance") the relationship between the storage format and the visualization output, following an accepted protocol. This research used a transformation process (Tp) to define this distance. Then, the atypical use of the quadtree SDM to represent choropleth spatial boundary uncertainty and attribute uncertainty was quantified using the same framework. This research shows that if a SDM is used outside of its original context, then the distance between the storage format and its visual output can alter; in our case, the distance decreased. This result was interpreted as evidence for the creation of a new spatial data structure. The formalization of the relationship between an SDM and its visual output will be valuable for future exploration of the non-conventional visualization of common SDMs. Numéro de notice : A2005-538 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304005775194827 En ligne : https://doi.org/10.1559/152304005775194827 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27674
in Cartography and Geographic Information Science > vol 32 n° 4 (October 2005) . - pp 359 - 367[article]Exemplaires(1)
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