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Termes IGN > géomatique > géovisualisation > analyse géovisuelle
analyse géovisuelle
Commentaire :
- Geovisual analytics refers to the science of analytical reasoning with spatial information as facilitated by interactive visual interfaces. It is distinguished by its focus on novel approaches to analysis rather than novel approaches to visualization or computational methods alone. As a result, geovisual analytics is usually grounded in real-world problem solving contexts. Research in geovisual analytics may focus on the development of new computational approaches to identify or predict patterns, new visual interfaces to geographic data, or new insights into the cognitive and perceptual processes that users apply to solve complex analytical problems. Systems for geovisual analytics typically feature a high-degree of user-driven interactivity and multiple visual representation types for spatial data. Geovisual analytics tools have been developed for a variety of problem scenarios, such as crisis management and disease epidemiology. Looking ahead, the emergence of new spatial data sources and display formats is expected to spur an expanding set of research and application needs for the foreseeable future. (Robinson, A. (2017). Geovisual Analytics. The Geographic Information Science & Technology Body of Knowledge (3rd Quarter 2017 Edition), John P. Wilson (ed.). DOI: 10.22224/gistbok/2017.3.6)
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Titre : Traffic prediction and analysis using a big data and visualisation approach Type de document : Article/Communication Auteurs : Declan McHugh, Auteur Editeur : Leeds [Royaume-Uni] : University of Leeds Année de publication : 2015 Conférence : GISRUK 2015, 23th GIS Research UK annual conference 15/04/2015 17/04/2015 Leeds Royaume-Uni open access proceedings Importance : pp 408 - 420 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] Dublin (Irlande ; ville)
[Termes IGN] exploration de données géographiques
[Termes IGN] modèle de simulation
[Termes IGN] prévision
[Termes IGN] régression multiple
[Termes IGN] trafic routier
[Termes IGN] Twitter
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This abstract illustrates an approach of using big data, visualisation and data mining techniques used to predict and analyse traffic. The objective is to understand Traffic patterns in Dublin City. The prediction model was used as an estimator to identify unusual traffic patterns. The generic model was designed using data mining techniques, multivariate regression algorithms, ARIMA and visually correlated with real-time traffic tweets. Using the prediction model and tweet event detection. The result is a high-performance web application containing over 500,000,000,000 traffic observations that produce analytical dashboard providing traffic prediction and analysis. Numéro de notice : C2015-049 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83863 Documents numériques
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Traffic prediction and analysisAdobe Acrobat PDF Flexible mixed reality and situated simulation as emerging forms of Geovisualization / Chris Lonergan in Cartographica, vol 49 n° 3 (September 2014)
[article]
Titre : Flexible mixed reality and situated simulation as emerging forms of Geovisualization Type de document : Article/Communication Auteurs : Chris Lonergan, Auteur ; Nick Hedley, Auteur Année de publication : 2014 Article en page(s) : pp 175 -187 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse géovisuelle
[Termes IGN] réalité augmentée
[Termes IGN] réalité virtuelle
[Termes IGN] simulation dynamique
[Termes IGN] simulation spatiale
[Termes IGN] visualisation dynamiqueRésumé : (Auteur) This article reports on the applied research behind a geospatial mobile augmented reality system that can run in situ simulations of dynamic spatial phenomena. The authors summarize previous work that has led to a critical convergence of enabling technologies and identify new forms of geovisualization facilitated by these technologies. The article introduces situated simulation as a new form of augmented situated geovisual analysis, using two versions of a prototype system called A Touch of Rain. This system allows users to run augmented precipitation simulations in real space, in which virtual rain falls on and interacts with real landscapes and buildings, and thus to perform augmented geovisual analysis. This method opens up new opportunities to link geospatial data, models, and everyday spaces. The authors conclude by discussing implications and opportunities for GIScience. Numéro de notice : A2014-506 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3138/carto.49.3.2440 En ligne : http://www.utpjournals.press/doi/full/10.3138/carto.49.3.2440 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74098
in Cartographica > vol 49 n° 3 (September 2014) . - pp 175 -187[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 031-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Studying commuting behaviours using collaborative visual analytics / Roger Beecham in Computers, Environment and Urban Systems, vol 47 (September 2014)
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Titre : Studying commuting behaviours using collaborative visual analytics Type de document : Article/Communication Auteurs : Roger Beecham, Auteur ; Jo Wood, Auteur ; Audrey Bowerman, Auteur Année de publication : 2014 Article en page(s) : pp 5 - 15 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] analyse spatio-temporelle
[Termes IGN] cycliste
[Termes IGN] densité des points
[Termes IGN] estimation par noyau
[Termes IGN] Londres
[Termes IGN] migration pendulaire
[Termes IGN] mobilité urbaine
[Termes IGN] origine - destination
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Mining a large origin–destination dataset of journeys made through London’s Cycle Hire Scheme (LCHS), we develop a technique for automatically classifying commuting behaviour that involves a spatial analysis of cyclists’ journeys. We identify a subset of potential commuting cyclists, and for each individual define a plausible geographic area representing their workplace. All peak-time journeys terminating within the vicinity of this derived workplace in the morning, and originating from this derived workplace in the evening, we label commutes. Three techniques for creating these workplace areas are compared using visual analytics: a weighted mean-centres calculation, spatial k-means clustering and a kernel density-estimation method. Evaluating these techniques at the individual cyclist level, we find that commuters’ peak-time journeys are more spatially diverse than might be expected, and that for a significant portion of commuters there appears to be more than one plausible spatial workplace area. Evaluating the three techniques visually, we select the density-estimation as our preferred method. Two distinct types of commuting activity are identified: those taken by LCHS customers living outside of London, who make highly regular commuting journeys at London’s major rail hubs; and more varied commuting behaviours by those living very close to a bike-share docking station. We find evidence of many interpeak journeys around London’s universities apparently being taken as part of cyclists’ working day. Imbalances in the number of morning commutes to, and evening commutes from, derived workplaces are also found, which might relate to local availability of bikes. Significant decisions around our workplace analysis, and particularly these broader insights into commuting behaviours, are discovered through exploring this analysis visually. The visual analysis approach described in the paper is effective in enabling a research team with varying levels of analysis experience to participate in this research. We suggest that such an approach is of relevance to many applied research contexts. Numéro de notice : A2014-798 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compenvurbsys.2013.10.007 En ligne : http://dx.doi.org/10.1016/j.compenvurbsys.2013.10.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82467
in Computers, Environment and Urban Systems > vol 47 (September 2014) . - pp 5 - 15[article]Principles and terminology of true-3D geovisualisation / Claudia Knust in Cartographic journal (the), vol 51 n° 3 (August 2014)
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Titre : Principles and terminology of true-3D geovisualisation Type de document : Article/Communication Auteurs : Claudia Knust, Auteur ; Manfred F. Buchroithner, Auteur Année de publication : 2014 Article en page(s) : pp 191 - 202 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] géovisualisation
[Termes IGN] stéréoscopie
[Termes IGN] visualisation 3D
[Vedettes matières IGN] GéovisualisationRésumé : (Auteur) In different scientific fields, the abbreviation ‘3D’ is used in a multitude of ways. Hence, one might easily lose track of what 3D means in a particular context. 3D is just a generic term which the authors are trying to classify into different groups. An overview of the technical status of 3D technologies serves to explain the importance of the three-dimensionality in cartography. Solid landscape embodiments as well as pseudo-three-dimensional and truly three-dimensional autostereoscopic visualisations on planar displays are treated. Starting with the reasons for the advantages and the necessities for true-3D representations the article deals with the classification and explanation of the different true-3D visualisation techniques so far materialized for geodata, in particular at the Institute for Cartography of the Dresden University of Technology. Numéro de notice : A2014-447 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/1743277413Y.0000000038 En ligne : https://doi.org/10.1179/1743277413Y.0000000038 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74001
in Cartographic journal (the) > vol 51 n° 3 (August 2014) . - pp 191 - 202[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Taxonomie des tâches d'analyse géovisuelle de risques / Gabriel Vatin in Cartes & Géomatique, n° 217 (septembre 2013)
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Titre : Taxonomie des tâches d'analyse géovisuelle de risques Type de document : Article/Communication Auteurs : Gabriel Vatin, Auteur ; Aldo Napoli, Auteur Année de publication : 2013 Article en page(s) : pp 49 - 58 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse géovisuelle
[Termes IGN] gestion des risques
[Termes IGN] logiciel de visualisation
[Termes IGN] sécurité maritime
[Termes IGN] surveillance
[Termes IGN] traficRésumé : (Auteur) Numéro de notice : A2013-554 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : http://www.lecfc.fr/new/articles/217-article-5.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32690
in Cartes & Géomatique > n° 217 (septembre 2013) . - pp 49 - 58[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 021-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Towards qualitative geovisual analytics: A case study involving places, people, and mediated experience / Ryan Burns in Cartographica, vol 48 n° 3 (October 2013)PermalinkVisual analytics of movement: An overview of methods, tools and procedures / Natalia Andrienko in Information visualization, vol 12 n° 1 (January 2013)PermalinkMaps and biased familiarity: cognitive distance error and reference points / R. Lloyd in Cartographica, vol 46 n° 3 (September 2011)PermalinkAnalytical, visual and interactive concepts for geo-visual analytics / Heidrun Schumann in Journal of Visual Languages and Computing, vol 22 n° 4 (August 2011)PermalinkWeka-STPM: a software architecture and prototype for semantic trajectory data mining and visualization / Vania Bogorny in Transactions in GIS, vol 15 n° 2 (April 2011)PermalinkPermalinkCombining geovisual analytics with spatial statistics: the example of geographically weighted regression / Urška Demšar in Cartographic journal (the), vol 45 n° 3 (August 2008)Permalink