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Highlighting space-time patterns: effective visual encoding for interactive decision-making / Mike Sips in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 8 (september 2007) . - pp 879 - 893 Titre : Highlighting space-time patterns: effective visual encoding for interactive decision-making Type de document : Article/Communication Auteurs : Mike Sips, Auteur ; J. Schneidewind, Auteur ; Daniel A. Keim, Auteur Année de publication : 2007 Article en page(s) : pp 879 - 893 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] analyse visuelle [Termes IGN] automatisation [Termes IGN] découverte de connaissances [Termes IGN] détection de changement [Termes IGN] données localisées [Termes IGN] données multisources [Termes IGN] entrepôt de données localisées [Termes IGN] visualisation Résumé : (Auteur) The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand the changes in patterns over time. The goal is to provide techniques that are able to analyse real-world Data Warehouses, a typical architecture to manage such geo-related multidimensional data sets, in order to support the analyst's decision-making process. Challenges arise because real-world applications usually have to deal with millions of records, with dozens of dimensions, and spatio-temporal context. Therefore, a tight integration of automated analysis and interactive visualizations is needed (as proposed in the context of Visual Analytics). Our approach uses the well-studied capabilities provided by Data Warehouses supporting knowledge discovery and decision-making to analyse spatio-temporal behaviour of pattern in high-dimensional spaces. The topic of the paper is to show possible interplays between automated analysis and geo-spatial visualization. Copyright Taylor & Francis Numéro de notice : A2007-322 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701362147 En ligne : https://doi.org/10.1080/13658810701362147 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28685 [article]

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