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Geovisual analytics for decision support setting the research agenda / Gennady Adrienko 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) . - pp 839 - 857 Titre : Geovisual analytics for decision support setting the research agenda Type de document : Article/Communication Auteurs : Gennady Adrienko, Auteur ; Natalia Adrienko, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 839 - 857 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] aide à la décision [Termes IGN] analyse visuelle [Termes IGN] exploration de données [Termes IGN] information géographique [Termes IGN] interface utilisateur [Termes IGN] outil d'aide à la décision [Termes IGN] recherche interdisciplinaire [Termes IGN] représentation mentale spatiale [Termes IGN] sciences cognitives [Termes IGN] visualisation Résumé : (Auteur) This article summarizes the results of the workshop on Visualization, Analytics & Spatial Decision Support, which took place at the GIScience conference in September 2006. The discussions at the workshop and analysis of the state of the art have revealed a need in concerted cross-disciplinary efforts to achieve substantial progress in supporting space-related decision making. The size and complexity of real-life problems together with their ill-defined nature call for a true synergy between the power of computational techniques and the human capabilities to analyze, envision, reason, and deliberate. Existing methods and tools are yet far from enabling this synergy. Appropriate methods can only appear as a result of a focused research based on the achievements in the fields of geovisualization and information visualization, human-computer interaction, geographic information science, operations research, data mining and machine learning, decision science, cognitive science, and other disciplines. The name 'Geovisual Analytics for Spatial Decision Support' suggested for this new research direction emphasizes the importance of visualization and interactive visual interfaces and the link with the emerging research discipline of Visual Analytics. This article, as well as the whole special issue, is meant to attract the attention of scientists with relevant expertise and interests to the major challenges requiring multidisciplinary efforts and to promote the establishment of a dedicated research community where an appropriate range of competences is combined with an appropriate breadth of thinking. Copyright Taylor & Francis Numéro de notice : A2007-320 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349011 En ligne : https://doi.org/10.1080/13658810701349011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28683 [article]

Exemplaires(2)

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

Visual analytics of spatial interaction patterns for pandemic decision support / D. Guo 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) . - pp 859 - 877 Titre : Visual analytics of spatial interaction patterns for pandemic decision support Type de document : Article/Communication Auteurs : D. Guo, Auteur Année de publication : 2007 Article en page(s) : pp 859 - 877 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] aide à la décision [Termes IGN] analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] distribution spatiale [Termes IGN] exploration de données géographiques [Termes IGN] graphe [Termes IGN] interaction humain-espace [Termes IGN] migration humaine [Termes IGN] mobilité humaine [Termes IGN] risque sanitaire [Termes IGN] santé [Termes IGN] surveillance sanitaire Résumé : (Auteur) Population mobility, i.e. the movement and contact of individuals across geographic space, is one of the essential factors that determine the course of a pandemic disease spread. This research views both individual-based daily activities and a pandemic spread as spatial interaction problems, where locations interact with each other via the visitors that they share or the virus that is transmitted from one place to another. The research proposes a general visual analytic approach to synthesize very large spatial interaction data and discover interesting (and unknown) patterns. The proposed approach involves a suite of visual and computational techniques, including (1) a new graph partitioning method to segment a very large interaction graph into a moderate number of spatially contiguous subgraphs (regions); (2) a reorderable matrix, with regions 'optimally' ordered on the diagonal, to effectively present a holistic view of major spatial interaction patterns; and (3) a modified flow map, interactively linked to the reorderable matrix, to enable pattern interpretation in a geographical context. The implemented system is able to visualize both people's daily movements and a disease spread over space in a similar way. The discovered spatial interaction patterns provide valuable insight for designing effective pandemic mitigation strategies and supporting decision-making in time-critical situations. Copyright Taylor & Francis Numéro de notice : A2007-321 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349037 En ligne : https://doi.org/10.1080/13658810701349037 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28684 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
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079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Highlighting space-time patterns: effective visual encoding for interactive decision-making / Mike Sips 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) . - pp 879 - 893 Titre : Highlighting space-time patterns: effective visual encoding for interactive decision-making Type de document : Article/Communication Auteurs : Mike Sips, Auteur ; J. Schneidewind, Auteur ; Daniel A. Keim, Auteur Année de publication : 2007 Article en page(s) : pp 879 - 893 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatio-temporelle [Termes IGN] analyse visuelle [Termes IGN] automatisation [Termes IGN] découverte de connaissances [Termes IGN] détection de changement [Termes IGN] données localisées [Termes IGN] données multisources [Termes IGN] entrepôt de données localisées [Termes IGN] visualisation Résumé : (Auteur) The research reported in this paper focuses on integrating analytical and visual methods in order to explore complex patterns in geo-related multivariate data sets and to understand the changes in patterns over time. The goal is to provide techniques that are able to analyse real-world Data Warehouses, a typical architecture to manage such geo-related multidimensional data sets, in order to support the analyst's decision-making process. Challenges arise because real-world applications usually have to deal with millions of records, with dozens of dimensions, and spatio-temporal context. Therefore, a tight integration of automated analysis and interactive visualizations is needed (as proposed in the context of Visual Analytics). Our approach uses the well-studied capabilities provided by Data Warehouses supporting knowledge discovery and decision-making to analyse spatio-temporal behaviour of pattern in high-dimensional spaces. The topic of the paper is to show possible interplays between automated analysis and geo-spatial visualization. Copyright Taylor & Francis Numéro de notice : A2007-322 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701362147 En ligne : https://doi.org/10.1080/13658810701362147 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28685 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Towards a framework for mining and analysing spatio-temporal datasets / Michela Bertolotto 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) . - pp 895 - 906 Titre : Towards a framework for mining and analysing spatio-temporal datasets Type de document : Article/Communication Auteurs : Michela Bertolotto, Auteur ; S. Di Martino, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 895 - 906 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] exploration de données géographiques [Termes IGN] Google Earth [Termes IGN] interface graphique [Termes IGN] Java3D [Termes IGN] phénomène météorologique [Termes IGN] risque naturel [Termes IGN] tempête [Termes IGN] visualisation 3D Résumé : (Auteur) High-resolution spatio-temporal datasets are being collected every day to record the behaviour of several natural phenomena. However, data-mining techniques are needed to extract relevant patterns from very large repositories and reveal spatial and temporal patterns in the behaviour of these phenomena. To this aim, we propose a system for mining data with spatial and temporal characteristics, and for visualizing and interpreting the results. Within this system, we have developed two complementary 3D visualization environments, one based on Google Earth and one relying on a Java3D graphical user interface. In this paper, we illustrate the main features of the system we have developed, and report on the main results we have obtained by analysing the Hurricane Isabel dataset. Copyright Taylor & Francis Numéro de notice : A2007-323 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349052 En ligne : https://doi.org/10.1080/13658810701349052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28686 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A geographic visualization approach to multi-criteria evaluation of urban quality of life / Claus Rinner 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) . - pp 907 - 919 Titre : A geographic visualization approach to multi-criteria evaluation of urban quality of life Type de document : Article/Communication Auteurs : Claus Rinner, Auteur Année de publication : 2007 Article en page(s) : pp 907 - 919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] aide à la décision [Termes IGN] analyse multicritère [Termes IGN] classification ascendante hiérarchique [Termes IGN] évaluation des données [Termes IGN] milieu urbain [Termes IGN] Toronto [Termes IGN] visualisation Résumé : (Auteur) This paper proposes to use principles of geographic visualization in conjunction with multi-criteria evaluation methods to support expert-level spatial decision-making. Interactive maps can be combined with analytical tools to explore various settings of multi-criteria evaluation parameters that define different decision-making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision-making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator. Copyright Taylor & Francis Numéro de notice : A2007-324 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349060 En ligne : https://doi.org/10.1080/13658810701349060 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28687 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

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]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A spatio-temporal population model to support risk assessment and damage analysis for decision-making / T. Ahola 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) . - pp 935 - 953 Titre : A spatio-temporal population model to support risk assessment and damage analysis for decision-making Type de document : Article/Communication Auteurs : T. Ahola, Auteur ; K. Virrantaus, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 935 - 953 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] données spatiotemporelles [Termes IGN] Finlande [Termes IGN] migration humaine [Termes IGN] mobilité territoriale [Termes IGN] modèle conceptuel de données spatio-temporelles [Termes IGN] outil d'aide à la décision [Termes IGN] protection civile [Termes IGN] risque majeur [Termes IGN] visualisation dynamique [Termes IGN] zone urbaine Résumé : (Auteur) The aim of this research is to develop and implement a simple spatio-temporal model of population location that might improve risk assessment and damage analysis for decision-making in both the Finnish Fire and Rescue Services and the Finnish Defence Forces. The motivation for the research is that present risk models do not take into account the temporal variation in population location during different times of the day. We use spatio-temporal modelling methods to model the population dynamics, and visualization techniques to represent the model outcomes. In addition, we apply the developed model to a damage-analysis application. The case study site is located in the centre of Helsinki. The model uses a basic population and workplace dataset maintained by the Helsinki Metropolitan Area Council. By means of this model, we intend to advance risk assessment, which considers the consequences of accidents. This model has the potential to help decision-makers evaluate their plans in several application areas - such as achieving better preparedness by having more reliable evacuation plans and resource allocation. In addition to the application-related technological research, a more generic framework about decision-making supported by spatio-temporal knowledge and visualization is presented. Copyright Taylor & Francis Numéro de notice : A2007-326 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810701349078 En ligne : https://doi.org/10.1080/13658810701349078 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28689 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-07051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-07052	RAB	Revue	Centre de documentation	En réserve L003	Disponible