Cartography and Geographic Information Science / Cartography and geographic information society . vol 35 n° 1Paru le : 01/01/2008 ISBN/ISSN/EAN : 1523-0406 |
[n° ou bulletin]
est un bulletin de Cartography and Geographic Information Science / Cartography and geographic information society (1999 -)
[n° ou bulletin]
|
Exemplaires(1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
---|---|---|---|---|---|
032-08011 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements
Ajouter le résultat dans votre panierSupporting the process of exploring and interpreting space-time multivariate patterns: the visual inquiry toolkit / J. Chen in Cartography and Geographic Information Science, vol 35 n° 1 (January 2008)
[article]
Titre : Supporting the process of exploring and interpreting space-time multivariate patterns: the visual inquiry toolkit Type de document : Article/Communication Auteurs : J. Chen, Auteur ; Alan M. MacEachren, Auteur ; D. Guo, Auteur Année de publication : 2008 Article en page(s) : pp 33 - 50 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse de groupement
[Termes IGN] analyse visuelle
[Termes IGN] données spatiotemporelles
[Termes IGN] mise à l'échelle
[Termes IGN] reconnaissance de formes
[Termes IGN] visualisationRésumé : (Auteur) While many data sets carry geographic and temporal references, our ability to analyze these datasets lags behind our ability to collect them because of the challenges posed by both data complexity and tool scalability issues. This study develops a visual analytics approach that leverages human expertise with visual, computational, and cartographic methods to support the application of visual analytics to relatively large spatio-temporal, multivariate data sets. We develop and apply a variety of methods for data clustering, pattern searching, information visualization, and synthesis. By combining both human and machine strengths, this approach has a better chance to discover novel, relevant, and potentially useful information that is difficult to detect by any of the methods used in isolation. We demonstrate the effectiveness of the approach by applying the Visual Inquiry Toolkit we developed to analyze a data set containing geographically referenced, time-varying and multivariate data for U.S. technology industries. Copyright CaGISociety Numéro de notice : A2008-060 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304008783475689 En ligne : https://doi.org/10.1559/152304008783475689 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29055
in Cartography and Geographic Information Science > vol 35 n° 1 (January 2008) . - pp 33 - 50[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-08011 RAB Revue Centre de documentation En réserve L003 Disponible Multi-representation databases with explicitly modeled horizontal, vertical, and update relations / M. Bobzien in Cartography and Geographic Information Science, vol 35 n° 1 (January 2008)
[article]
Titre : Multi-representation databases with explicitly modeled horizontal, vertical, and update relations Type de document : Article/Communication Auteurs : M. Bobzien, Auteur ; Dirk Burghardt, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 3 - 16 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] données vectorielles
[Termes IGN] généralisation automatique de données
[Termes IGN] mise à jour de base de données
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] représentation multipleRésumé : (Auteur) This paper presents a new approach to combining multi-representation databases with the generalization and update processes. It leads to a tightly integrated model which is a part of the existing cartographic GIS expand. The approach is based on the mathematical concept of relations and, in particular, on three different types of relations: horizontal (within one resolution), vertical (between different resolutions), and update. Horizontal relations allow the representation of relationships between features within one resolution. Examples are partitions, neighborhoods, and topology. The vertical relation represents the relationship between features of different resolutions. This originates from a generalization or matching process. The update relation describes temporal changes of features. After a detailed theory about the relation types introduced, the paper continues with a discussion of their similarities and differences, with a focus on implementation in a multi-representation database. A prototype demonstrates the generalization of buildings and roads from vector data at 1: 25,000 to 1: 50,000 scales. The paper ends with conclusions and an outlook on further research tasks. Copyright CaGISociety Numéro de notice : A2008-061 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304008783475698 En ligne : https://doi.org/10.1559/152304008783475698 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29056
in Cartography and Geographic Information Science > vol 35 n° 1 (January 2008) . - pp 3 - 16[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-08011 RAB Revue Centre de documentation En réserve L003 Disponible