Descripteur
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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Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter / Caglar Koylu in International journal of geographical information science IJGIS, Vol 33 n° 3-4 (March - April 2019)
[article]
Titre : Modeling and visualizing semantic and spatio-temporal evolution of topics in interpersonal communication on Twitter Type de document : Article/Communication Auteurs : Caglar Koylu, Auteur Année de publication : 2019 Article en page(s) : pp 805 - 832 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] analyse diachronique
[Termes IGN] analyse géovisuelle
[Termes IGN] analyse spatio-temporelle
[Termes IGN] comportement
[Termes IGN] réseau social
[Termes IGN] segmentation sémantique
[Termes IGN] traitement interactif
[Termes IGN] TwitterRésumé : (Auteur) Interpersonal communication on online social networks has a significant impact on the society by not only diffusing information, but also forming social ties, norms, and behaviors. Knowing how the conversational discourse semantically and geographically vary over time can help uncover the changing dynamics of interpersonal ties and the digital traces of social events. This article introduces a framework for modeling and visualizing the semantic and spatio-temporal evolution of topics in a spatially embedded and time-stamped interpersonal communication network. The framework consists of (1) a topic modeling workflow for modeling topics and extracting the evolution of conversational discourse; (2) a geo-social network modeling and smoothing approach to projecting connection characteristics and semantics of communication onto geographic space and time; (3) a web-based geovisual analytics environment for exploring semantic and spatio-temporal evolution of topics in a spatially embedded and time-stamped interpersonal communication network. To demonstrate, geo-located and reciprocal user mention and reply tweets over the course of the 2016 primary and presidential elections in the United States from 1 August 2015 to 15 November 2016 were analyzed. The large portion of the topics extracted from mention tweets were related to daily life routines, human activities, and interests such as school, work, sports, dating, wearing, birthday celebration, music, food, and live-tweeting. Specific focus on the analysis of political conversations revealed that the content of conversational discourse was split between civil rights and election-related discussions of the political campaigns and candidates. These political topics exhibited major shifts in terms of content and the popularity in reaction to primaries, debates, and events throughout the study period. While civil rights discussions were more dominant and in higher intensity across the nation and throughout the whole time period, election-specific conversations resulted in temporally varying local hotspots that correlated with locations of primaries and events. Numéro de notice : A2019-217 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2018.1458987 Date de publication en ligne : 25/04/2018 En ligne : https://doi.org/10.1080/13658816.2018.1458987 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92689
in International journal of geographical information science IJGIS > Vol 33 n° 3-4 (March - April 2019) . - pp 805 - 832[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-2019031 RAB Revue Centre de documentation En réserve L003 Disponible 079-2019032 RAB Revue Centre de documentation En réserve L003 Disponible The effect of topography and elevation on viewsheds in mountain landscapes using geovisualization / Loukas-Moysis Misthos in International journal of cartography, vol 5 n° 1 (March 2019)
[article]
Titre : The effect of topography and elevation on viewsheds in mountain landscapes using geovisualization Type de document : Article/Communication Auteurs : Loukas-Moysis Misthos, Auteur ; Byron Nakos, Auteur ; Vassilios Krassanakis, Auteur ; Maria Menegaki, Auteur Année de publication : 2019 Article en page(s) : pp 44 - 66 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] altitude
[Termes IGN] analyse du paysage
[Termes IGN] analyse géovisuelle
[Termes IGN] cartographie animée
[Termes IGN] évaluation
[Termes IGN] montagne
[Termes IGN] structure spatiale
[Termes IGN] topographie locale
[Termes IGN] visibilité entre points
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Les analyses de la visibilité offrent une opportunité pour faciliter l’exploration des paysages (par exemple l’évaluation des expériences touristiques). La localisation des observateurs dans un espace 3D et le caractère topographique de l’ensemble du paysage ont été identifiés comme des points clés pour la visibilité des structures spatiales (vues). Pourtant la façon dont les observateurs explorent un paysage n’est pas statique, mais séquentielle. Dans ce papier, nous concevons des visualisations géographiques exploratrices (des cartes de vues animées) qui visualisent de façon dynamique la partie d’un paysage de montagne qui est visible à partir de positions hypothétiques d’observateurs se déplaçant sur différentes entités topographiques (par exemple une ligne de crête). Dans ces géovisualisations, les changements d’altitude des observateurs sont également affichés dans un graphique de profil en encart. Dans l’ensemble, ces cartes animées facilitent l’exploration visuelle de l’évolution des vues simultanément avec le changement de position des observateurs. De cette façon, nous proposons un aperçu visuel direct de l’influence du déplacement de l’altitude des observateurs et des entités topographiques sur l’étendue et la configuration des vues. Cette approche qualitative est complétée par une évaluation statistique qui augmente la robustesse des résultats. Il s’avère que l’altitude en tant que telle n’est pas un déterminant crucial de la visibilité, et que les entités topographiques doivent être inclues pour une meilleure quantification et standardisation de la manière dont les paysages de montagne sont dynamiquement expérimentés. Numéro de notice : A2019-067 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/23729333.2018.1477569 Date de publication en ligne : 04/07/2018 En ligne : https://doi.org/10.1080/23729333.2018.1477569 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92168
in International journal of cartography > vol 5 n° 1 (March 2019) . - pp 44 - 66[article]CarSenToGram: geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter / Caglar Koylu in Cartography and Geographic Information Science, Vol 46 n° 1 (January 2019)
[article]
Titre : CarSenToGram: geovisual text analytics for exploring spatiotemporal variation in public discourse on Twitter Type de document : Article/Communication Auteurs : Caglar Koylu, Auteur ; Ryan Larson, Auteur ; Bryce J. Dietrich, Auteur ; Kang-Pyo Lee, Auteur Année de publication : 2019 Article en page(s) : pp 57 - 71 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse du discours
[Termes IGN] analyse géovisuelle
[Termes IGN] cartogramme
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] corpus
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] exploration de données
[Termes IGN] sentiment
[Termes IGN] Twitter
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) Assessing the impact of events on the evolution of online public discourse is challenging due to the lack of data prior to the event and appropriate methodologies for capturing the progression of tenor of public discourse, both in terms of their tone and topic. In this article, we introduce a geovisual analytics framework, CarSenToGram, which integrates topic modeling and sentiment analysis with cartograms to identify the changing dynamics of public discourse on a particular topic across space and time. The main novelty of CarSenToGram is coupling comprehensible spatiotemporal overviews of the overall distribution, topical and sentiment patterns with increasing levels of information supported by zoom and filter, and details-on-demand interactions. To demonstrate the utility of CarSenToGram, in this article, we analyze tweets related to immigration the month before and after the 27 January 2017 travel ban in order to reveal insights into one of the defining moments of President Trump’s first year in office. Not only do we find that the travel ban influenced online public discourse and sentiment on immigration, but it also highlighted important partisan divisions within the US. Numéro de notice : A2019-012 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/15230406.2018.1510343 Date de publication en ligne : 18/09/2018 En ligne : https://doi.org/10.1080/15230406.2018.1510343 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91661
in Cartography and Geographic Information Science > Vol 46 n° 1 (January 2019) . - pp 57 - 71[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2019011 RAB Revue Centre de documentation En réserve L003 Disponible Manual of digital Earth, ch. 7. Geospatial information visualization and extended reality displays / Arzu Çöltekin (2019)
Titre de série : Manual of digital Earth, ch. 7 Titre : Geospatial information visualization and extended reality displays Type de document : Chapitre/Contribution Auteurs : Arzu Çöltekin, Auteur ; Amy L. Griffin, Auteur ; Aidan Slingsby, Auteur ; Anthony C. Robinson, Auteur ; Sidonie Christophe , Auteur ; Victoria Rautenbach, Auteur ; Min Chen, Auteur ; Christopher Pettit, Auteur ; Alexander Klippel, Auteur Editeur : Springer International Publishing Année de publication : 2019 Importance : pp 229 - 277 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] géovisualisation
[Termes IGN] immersion
[Termes IGN] réalité augmentée
[Termes IGN] réalité mixte
[Termes IGN] réalité virtuelle
[Termes IGN] visualisation dynamique
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) In this chapter, we review and summarize the current state of the art in geovisualization and extended reality (i.e., virtual, augmented and mixed reality), covering a wide range of approaches to these subjects in domains that are related to geographic information science. We introduce the relationship between geovisualization, extended reality and Digital Earth, provide some fundamental definitions of related terms, and discuss the introduced topics from a human-centric perspective. We describe related research areas including geovisual analytics and movement visualization, both of which have attracted wide interest from multidisciplinary communities in recent years. The last few sections describe the current progress in the use of immersive technologies and introduce the spectrum of terminology on virtual, augmented and mixed reality, as well as proposed research concepts in geographic information science and beyond. We finish with an overview of “dashboards”, which are used in visual analytics as well as in various immersive technologies. We believe the chapter covers important aspects of visualizing and interacting with current and future Digital Earth applications. Numéro de notice : H2019-005 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-981-32-9915-3_7 Date de publication en ligne : 20/11/2019 En ligne : http://dx.doi.org/10.1007/978-981-32-9915-3_7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95338 Modeling evacuation in institutional space: Linking three-dimensional data capture, simulation, analysis, and visualization workflows for risk assessment and communication / Ian M. Lochhead in Information visualization, vol 18 n° 1 (January 2019)
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Titre : Modeling evacuation in institutional space: Linking three-dimensional data capture, simulation, analysis, and visualization workflows for risk assessment and communication Type de document : Article/Communication Auteurs : Ian M. Lochhead, Auteur ; Nick Hedley, Auteur Année de publication : 2019 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse géovisuelle
[Termes IGN] données localisées
[Termes IGN] gestion de crise
[Termes IGN] modèle dynamique
[Termes IGN] modélisation 3D
[Vedettes matières IGN] GéovisualisationRésumé : (auteur) This article presents exploratory research to develop new workflows that address the challenges of adequately capturing the geometry and topology of complex institutional spaces, the analysis of prescriptive evacuation plans, and the simulation of human movement and behavior in emergency scenarios. We present a collection of geovisual analytical environments that were developed to permit new ways to view and assess risk, evacuation, and human movement. Part of this research considers how different approaches to the representation of complex institutional space, using three-dimensional capture technologies at multiple resolutions (or derived from conventional formats, such as building plans), have implicit advantages or liabilities in the analysis of risk and human evacuation. We combine three-dimensional data capture methods with geographical information science theory, three-dimensional game engines, three-dimensional evacuation simulations and spatial analyses that address the variability of campus populations, and draw upon three-dimensional modeling and photogrammetry for the assessment of real-world features in digital space. The outcome of this research demonstrates agile workflows that address emergency planning requirements, but could also enable enhanced visual analysis and interactive learning by all campus citizens. Furthermore, this work reveals key considerations and limitations associated with the dynamic nature of evacuation events and the static environments in which they have been simulated. Numéro de notice : A2019-400 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1177/1473871617720811 Date de publication en ligne : 28/07/2017 En ligne : https://doi.org/10.1177/1473871617720811 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89119
in Information visualization > vol 18 n° 1 (January 2019)[article]Visual exploration of migration patterns in gull data / Maximilian Konzack in Information visualization, vol 18 n° 1 (January 2019)PermalinkDescriptive measures of point distributions summarized with respect to spatial scale in visualization / Yukio Sadahiro in Cartographica, vol 53 n° 3 (Fall 2018)PermalinkMethod for the analysis and visualization of similar flow hotspot patterns between different regional groups / Haiping Zhang in ISPRS International journal of geo-information, vol 7 n° 8 (August 2018)PermalinkSensePlace3: a geovisual framework to analyze place–time–attribute information in social media / Scott Pezanowski in Cartography and Geographic Information Science, Vol 45 n° 5 (August 2018)PermalinkAssociation rules-based multivariate analysis and visualization of spatiotemporal climate data / Feng Wang in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkA geovisual analytics exploration of the OpenStreetMap crowd / Sterling Quinn in Cartography and Geographic Information Science, Vol 45 n° 2 (March 2018)PermalinkA simulation and visualization environment for spatiotemporal disaster risk assessments of network infrastructures / Magnus Heittzler in Cartographica, vol 52 n° 4 (Winter 2017)PermalinkInsight provenance for spatiotemporal visual analytics : Theory, review, and guidelines / Andreas Hall in Journal of Spatial Information Science (JoSIS), n° 15 (September 2017)PermalinkOptimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems / Mingwei Liu in International journal of geographical information science IJGIS, vol 31 n° 9-10 (September - October 2017)PermalinkVisual analytics of time-varying multivariate ionospheric scintillation data / Aurea Soriano-Vargas in Computers and graphics, vol 68 (November 2017)PermalinkAnimated chorem-based summaries of geographic data streams from sensors in real time / Zina Bouattou in Journal of Visual Languages and Computing, vol 41 (August 2017)PermalinkA viewpoint based approach to the visual exploration of trajectory / Jie Li in Journal of Visual Languages and Computing, vol 41 (August 2017)PermalinkAn evaluation of a visual analytics prototype for calendar-related spatiotemporal periodicity detection and analysis / Brian Swedberg in Cartographica, vol 52 n° 1 (Spring 2017)PermalinkVisual analytics of delays and interaction in movement data / Maximilian Konzack in International journal of geographical information science IJGIS, vol 31 n° 1-2 (January - February 2017)PermalinkDe la géographie militaire au Geospatial Intelligence en France (19e siècle - 21e siècle) / Philippe Boulanger in Bulletin de liaison des membres de la Société de Géographie, Hors-série (juin 2016)PermalinkScalable and privacy-respectful interactive discovery of place semantics from human mobility traces / Natalia Andrienko in Information visualization, vol 15 n° 2 (April 2016)PermalinkEuropean handbook of crowdsourced geographic information, ch. 12. Gaining knowledge from georeferenced social media data with visual analytics / Gennady Andrienko (2016)PermalinkGeovisual analytics and the science of interaction: an empirical interaction study / Robert Emmett Roth in Cartography and Geographic Information Science, Vol 43 n° 1 (January 2016)PermalinkThe space-time cube as part of a GeoVisual analytics environment to support the understanding of movement data / Irma Kveladze in International journal of geographical information science IJGIS, vol 29 n° 11 (November 2015)PermalinkInteractivity and cartography: A contemporary perspective on user interface and user experience design from geospatial professionals / Robert Emmett Roth in Cartographica, vol 50 n° 2 (Summer 2015)Permalink