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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)  

Public [article]  inCartography and Geographic Information Science > vol 36 n° 3 (July 2009) . - pp 225 - 236 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 données Résumé : (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 [article]

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032-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Density equalizing distortion of large geographic point sets / P. Bak 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 237 - 250 Titre : Density equalizing distortion of large geographic point sets Type de document : Article/Communication Auteurs : P. Bak, Auteur ; M. Schaefer, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 237 - 250 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes IGN] analyse de données [Termes IGN] cartogramme [Termes IGN] cartographie statistique [Termes IGN] densité des points [Termes IGN] traitement de données localisées [Termes IGN] visualisation de données Résumé : (Auteur) Visualizing large geo-demographical datasets using pixel-based techniques involves mapping the geospatial dimensions of a data point to screen coordinates and appropriately encoding its statistical value by color. The analysis of such data presents a great challenge. General tasks involve clustering, categorization, and searching for patterns of interest for sociological or economic research. Available visual encodings and screen space limitations lead to over-plotting and hiding of patterns and clusters in densely populated areas, while sparsely populated areas waste space and draw the attention away from the areas of interest. In this paper, two new approaches (RadialScale and AngularScale) are introduced to create density-equalized maps, while preserving recognizable features and neighborhoods in the visualization. These approaches build the core of a multi-scaling technique based on local features of the data described as local minima and maxima of point density. Scaling is conducted several times around these features, which leads to more homogeneous distortions. Results are illustrated using several real-world datasets. Our evaluation shows that the proposed techniques outperform traditional techniques as regard the homogeneity of the resulting data distributions and therefore build a more appropriate basis for analytic purposes. Copyright CaGISociet Numéro de notice : A2009-268 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988288 En ligne : https://doi.org/10.1559/152304009788988288 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29898 [article]

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Tropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics / C.A. Steed 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 251 - 265 Titre : Tropical cyclone trend analysis using enhanced parallel coordinates and statistical analytics Type de document : Article/Communication Auteurs : C.A. Steed, Auteur ; P. Fitzpatrick, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 251 - 265 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de données [Termes IGN] corrélation [Termes IGN] cyclone [Termes IGN] découverte de connaissances [Termes IGN] données environnementales [Termes IGN] données météorologiques [Termes IGN] données statistiques [Termes IGN] régression Résumé : (Auteur) This work presents, via an in-depth case study on how parallel coordinates coupled with statistical analysis can be used for more effective knowledge discovery and confirmation in complex, environmental data sets. Advanced visual interaction techniques such as dynamic axis scaling, conjunctive parallel coordinates, statistical indicators, and aerial perspective shading are combined into an interactive geovisual analytics system. Moreover, the system facilitates statistical processes such as stepwise regression and correlation analysis to assist in the identification and quantification of the most significant predictors for a particular dependent variable. Using a systematic workflow, this approach is demonstrated via a North Atlantic hurricane climate study in close collaboration with a domain expert. By revealing several important physical associations, the case study confirms that the visual analytics approach facilitates a deeper understanding of multidimensional climate data sets when compared to traditional techniques. Copyright CaGISociety Numéro de notice : A2009-269 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988314 En ligne : https://doi.org/10.1559/152304009788988314 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29899 [article]

Exemplaires(1)

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GeoJabber: enabling geo-collaborative visual analysis / F. Hardisty 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 267 - 280 Titre : GeoJabber: enabling geo-collaborative visual analysis Type de document : Article/Communication Auteurs : F. Hardisty, Auteur Année de publication : 2009 Article en page(s) : pp 267 - 280 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale [Termes IGN] diffusion de données [Termes IGN] GeoViz Toolkit [Termes IGN] logiciel de visualisation [Termes IGN] logiciel libre [Termes IGN] synergiciel [Termes IGN] visualisation de données [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The GeoJabber concept, protocol, and working prototype software introduced here enable same-time, different-place collaborative geovisualization. The key problem this work addresses is how to turn geovisual software states into persistent textual representations that can be shared between users. In the current implementation, GeoJabber leverages three key Open Source technologies: the GeoViz Toolkit, the Jabber protocol, and XStream. GeoJabber is the first project to support same-time different-place geovisualization tool state sharing. As part of this effort, this paper presents a typology of sharable geovisualization software states, rooted in the concepts of data, display, and category. Copyright CaGISociety Numéro de notice : A2009-270 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009788988332 En ligne : https://doi.org/10.1559/152304009788988332 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29900 [article]

Exemplaires(1)

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032-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
032-09031	RAB	Revue	Centre de documentation	En réserve L003	Disponible