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Leveraging the potential of geospatial annotations for collaboration: a communication theory perspective / S. Hopper in International journal of geographical information science IJGIS, vol 21 n° 8 (september 2007)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 21 n° 8 (september 2007) Titre : Leveraging the potential of geospatial annotations for collaboration: a communication theory perspective Type de document : Article/Communication Auteurs : S. Hopper, Auteur ; Alan M. MacEachren, Auteur Année de publication : 2007 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] groupement professionnel [Termes IGN] partage de données localisées [Termes IGN] synergiciel Résumé : (Auteur) This paper addresses a key problem in the development of visual-analytical collaborative tools, how to design map-based displays to enable productive group work. We introduce a group communication theory, the Collective Information Sharing (CIS) bias, and discuss how it relates to communicative goals that need to be considered when designing collaborative, visually enabled, spatial-decision-support tools. The CIS bias framework suggests that key goals for developing such tools should be: (a) the harnessing of a group's collective knowledge emerging from collaborative discussions and (b) reducing the repeat of information that has already been shared within the group. We propose that web-accessible, map annotation tools are ideally suited to advancing these goals and outline how the CIS bias framework informs how geospatial annotation tools can maximize the potential of collaborative efforts. We offer design recommendations for annotation tools that function to: (a) facilitate access to and recall of geographically referenced discussion contributions, (b) document ideas for private as well as public discussion spaces, and (c) elicit all group members to contribute information in a given collaborative effort. Copyright Taylor & Francis Numéro de notice : A2007-325 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701377780 En ligne : https://doi.org/10.1080/13658810701377780 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28688 [article]

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079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Visualizing geospatial information uncertainty: what we know and what we need to know / Alan M. MacEachren in Cartography and Geographic Information Science, vol 32 n° 3 (July 2005)  

Public [article]  inCartography and Geographic Information Science > vol 32 n° 3 (July 2005) . - pp 139 - 160 Titre : Visualizing geospatial information uncertainty: what we know and what we need to know Type de document : Article/Communication Auteurs : Alan M. MacEachren, Auteur ; A. Robinson, Auteur ; S. Hopper, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 139 - 160 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] aide à la décision [Termes IGN] analyse comparative [Termes IGN] analyse de la valeur [Termes IGN] incertitude des données [Termes IGN] modèle d'incertitude [Termes IGN] qualité des données [Termes IGN] représentation cartographique [Termes IGN] visualisation Résumé : (Auteur) Developing reliable methods for representing and managing information uncertainty remains it persistent and relevant challenge to GIScience. Information uncertainty is an intricate idea, and recent examinations of this concept have generated many perspectives on its representation and visualization, with perspectives emerging from a wide range of disciplines and application contexts. In this paper, we review and assess progress toward visual tools and methods to help analysis manage and understand information uncertainty. Specifically, we report on efforts to conceptualize uncertainty, decision making with uncertainty, frameworks for representing uncertainty, visual representation and user control of displays of information uncertainty, and evaluative efforts to assess the use and usability of visual displays of uncertainty. We conclude by identifying seven key research challenges in visualizing information uncertainty, particularly as it applies to decision making and analysis. Numéro de notice : A2005-416 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/1523040054738936 En ligne : https://doi.org/10.1559/1523040054738936 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27552 [article]

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