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Visualization of attributed hierarchical structures in a spatiotemporal context / S. Hadlak in International journal of geographical information science IJGIS, vol 24 n° 10 (october 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 10 (october 2010) . - pp 1497 - 1513 Titre : Visualization of attributed hierarchical structures in a spatiotemporal context Type de document : Article/Communication Auteurs : S. Hadlak, Auteur ; Christian Tominski, Auteur ; H. Schulz, Auteur ; Heidrun Schumann, Auteur Année de publication : 2010 Article en page(s) : pp 1497 - 1513 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] approche hiérarchique [Termes IGN] implémentation (informatique) [Termes IGN] structure hiérarchique de données [Termes IGN] visualisation Résumé : (Auteur) When visualizing data, spatial and temporal references of these data often have to be considered in addition to the actual data attributes. Nowadays, structural information is becoming more and more important. Hierarchies, for instance, are frequently applied to make large and complex data manageable. Hence, a visual depiction of hierarchical structures in space and time is required. Although there are several techniques addressing specific aspects of spatio-temporal visualization, approaches that cope with space, time, data, and structure are rare. With this article we take a step to fill this gap. By combining various well-established concepts, we achieve a reasonably complete visualization of all of the aforementioned aspects, where our focus is on the hierarchical structures. We embed hierarchies directly into the regions of a map display using variants of the point-based layout. Layering and animation are applied to visualize temporal aspects. Based on the analysis goals, users can switch between representations that emphasize data attributes or hierarchical structures. Interaction techniques support users in navigating the data and their visualization. We demonstrate the usefulness of our approach by adapting it to implement a visualization for spatiotemporal human health data. Numéro de notice : A2010-463 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658816.2010.510840 En ligne : https://doi.org/10.1080/13658816.2010.510840 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30656 [article]

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