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An XML-based infrastructure to enhance collaborative geographic visual analytics / M. Kramis in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)  

Public [article]  inCartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 281 - 293 Titre : An XML-based infrastructure to enhance collaborative geographic visual analytics Type de document : Article/Communication Auteurs : M. Kramis, Auteur ; C. Gabathuler, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 281 - 293 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] accès aux données localisées [Termes IGN] analyse visuelle [Termes IGN] architecture client-serveur [Termes IGN] données localisées [Termes IGN] format SVG [Termes IGN] interface graphique [Termes IGN] stockage de données [Termes IGN] synergiciel [Termes IGN] XML Résumé : (Auteur) We propose a new, streamlined, two-step geographic visual analytics (GVA) workflow for efficient data storage and access based on a native web XML database called Tree lank coupled with a Scalable Vector Graphics (SVG) graphical user interface for visualization. This new storage framework promises better scalability with rapidly growing datasets available on the Internet, while also reducing data access and updating delays for collaborative GVA environments. Both improve interactivity and flexibility from an end-user perspective. The proposed framework relies on a RES 1-based web interface providing scalable and spatio-temporal read-write access to complex spatio-tem-poral datasets of structured, semi-structured, or unstructured data. The clean separation of client and server at the HTTP web layer assures backward compatibility and better extensibility. We discuss the proposed framework and apply it on a prototype implementation employing world debt data. The excellent compression ratio of SVG as well as its fast delivery to end users are encouraging and suggest important steps have been made towards dynamic, highly interactive, and collaborative geovisual analytics environments. Copyright CaGISociety Numéro de notice : A2009-271 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988305 En ligne : https://doi.org/10.1559/152304009788988305 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29901 [article]

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