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Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube / I. Santiago in Cartography and Geographic Information Science, vol 36 n° 3 (July 2009)
[article]
Titre : Developing a geovisual analytics environment for investigating archaeological events: extending the space-time cube Type de document : Article/Communication Auteurs : I. Santiago, Auteur ; Otto Huisman, Auteur ; Menno-Jan Kraak, Auteur ; B. Restios, Auteur Année de publication : 2009 Article en page(s) : pp 225 - 236 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse spatio-temporelle
[Termes IGN] base de données spatiotemporelles
[Termes IGN] graphe
[Termes IGN] Porto Rico
[Termes IGN] site archéologique
[Termes IGN] système d'information géographique
[Termes IGN] visualisation de donnéesRésumé : (Auteur) Over the past several decades, archaeologists have been developing and improving methods for collection, analysis, visualization, and modeling of site information. Despite the increasing capabilities of GlScience tools in recent years, archaeology is an application domain where these capabilities have not been fully utilized. This paper presents preliminary results on the development of geovisual analytics functions for archaeological investigation by extending Space-Time Cube (STC) software currently under development. Graph-theoretical techniques are implemented to uncover and visualize spatio-temporal relationships between artefacts from different historical periods excavated at different locations. These techniques are implemented and tested on a database of archaeological sites in Puerto Rico. The contribution of this research to visual analytics is the integration of space, time, and relationships within a single interactive environment. The extended STC facilitates insight into potential interactions or clashes among different cultures identified through archaeological digs. This is achieved through building linkages between database tuples based on attribute similarities which can be explicitly visualized and queried within the STC environment. The paper concludes with a summary of the effectiveness and potential of the prototype and its functionality. Copyright CaGISociety Numéro de notice : A2009-267 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988297 En ligne : https://doi.org/10.1559/152304009788988297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29897
in Cartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 225 - 236[article]Exemplaires(1)
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