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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)  

Public [article]  inCartography and Geographic Information Science > vol 32 n° 4 (October 2005) . - pp 359 - 367 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] visualisation Résumé : (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 [article]

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032-05041	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The scale matcher: a procedure for assessing scale compatibility of spatial data and models / L.R. Lilburne in International journal of geographical information science IJGIS, vol 18 n° 3 (april - may 2004)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 18 n° 3 (april - may 2004) . - pp 257 - 279 Titre : The scale matcher: a procedure for assessing scale compatibility of spatial data and models Type de document : Article/Communication Auteurs : L.R. Lilburne, Auteur ; T.H. Webb, Auteur ; G.L. Benwell, Auteur Année de publication : 2004 Article en page(s) : pp 257 - 279 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] appariement [Termes IGN] échelle cartographique [Termes IGN] mise à l'échelle [Termes IGN] modélisation spatiale [Termes IGN] outil d'aide à la décision [Termes IGN] variation d'échelle Résumé : (Auteur) It is becoming easier to combine environmental data and models to provide information for problem-solving by environmental policy analysts, decision-makers, and land managers. However, the scale dependencies of each of these (data, model, and problem) can mean that the resulting information is misleading or even invalid. This paper describes the development of a systematic framework (dubbed the 'Scale Matcher') for identifying and matching the scale requirements of a problem with the scale limitations of spatial data and models. The Scale Matcher framework partitions the complex array of scale issues into more manageable components that can be individually quantified. First, the scale characteristics of data, model, and problem are separated into their scale components of extent, accuracy, and precision, and each is associated with suitable metrics. Second, a comprehensive set of pairwise matches between these components is defined. Third, a procedure is devised to lead the user through a process of systematically comparing or matching each scale component. In some cases, the matches are simple comparisons of the relevant metrics. Others require the combination of data variability and model sensitivity to be investigated by randomly simulating data and model imprecision and inaccuracy. Finally, a conclusion is drawn as to the scale compatibility of the Data Model-Problem trio based on the overall procedure result. Listing the individual match results as a set of scale assumptions helps to draw attention to them, making users more aware of the limitations of spatial modelling. Application of the Scale Matcher is briefly illustrated with a case study, in which the scale suitability of two sources of soil map data for identifying areas of vulnerability to groundwater pollution was tested. The Scale Matcher showed that one source of soil map data had unacceptable scale characteristics, and the other was marginal for addressing the problem of nitrate leaching vulnerability. The scale-matching framework successfully partitioned the scale issue into a series of more manageable comparisons and gave the user more confidence in the scale validity of the model output. Numéro de notice : A2004-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/13658810310001629628 En ligne : https://doi.org/10.1080/13658810310001629628 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26687 [article]

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079-04031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-04032	RAB	Revue	Centre de documentation	En réserve L003	Disponible