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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)
[article]
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]Rapport d'activité 2018 de l'Institut National de l'Information Géographique et Forestière IGN, 2. Panorama 2018 / Institut national de l'information géographique et forestière (2012 -) (2019)
Titre de série : Rapport d'activité 2018 de l'Institut National de l'Information Géographique et Forestière IGN, 2 Titre : Panorama 2018 Type de document : Rapport Auteurs : Institut national de l'information géographique et forestière (2012 -), Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2019 Format : 11 x 25 cm Langues : Français (fre) Descripteur : [Vedettes matières IGN] Histoire IGN
[Termes IGN] aménagement du territoire
[Termes IGN] écosystème forestier
[Termes IGN] intelligence artificielle
[Termes IGN] projet
[Termes IGN] randonnée
[Termes IGN] référentiel à très grande échelle
[Termes IGN] Time-geography
[Termes IGN] université
[Termes IGN] véhicule automobileIndex. décimale : 42.40 Histoire IGN Note de contenu : Un futur stimulant
Soutenir la mise en oeuvre des politiques publiques
Co-produire des services innovants
QNuméro de notice : 28619B Affiliation des auteurs : IGN (2012-2019) Thématique : FORET/GEOMATIQUE Nature : Rapport d'activité DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99512 Voir aussiRéservation
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Code-barres Cote Support Localisation Section Disponibilité 28619-01B 42.40 Livre Centre de documentation Histoire Disponible 28619-02B 42.40 Livre Centre de documentation Histoire Disponible Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data / Nikolaos Sideris (2019)
Titre : Spatial decision support in urban environments using machine learning, 3D geo-visualization and semantic integration of multi-source data Type de document : Thèse/HDR Auteurs : Nikolaos Sideris, Auteur ; Georgios Miaoulis, Directeur de thèse ; Djamchid Ghazanfarpour, Directeur de thèse Editeur : Limoges : Université de Limoges Année de publication : 2019 Importance : 136 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse pour obtenir le grade de Docteur de l'Université de Limoges spécialité InformatiqueLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] aide à la décision
[Termes IGN] apprentissage automatique
[Termes IGN] classification barycentrique
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] données multisources
[Termes IGN] géoréférencement
[Termes IGN] géovisualisation
[Termes IGN] image 3D
[Termes IGN] modèle 3D de l'espace urbain
[Termes IGN] modélisation sémantique
[Termes IGN] ontologie
[Termes IGN] planification urbaine
[Termes IGN] système d'information urbain
[Termes IGN] urbanismeIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The constantly increasing amount and availability of urban data derived from varying sources leads to an assortment of challenges that include, among others, the consolidation, visualization, and maximal exploitation prospects of the aforementioned data. A preeminent problem affecting urban planning is the appropriate choice of location to host a particular activity (either commercial or common welfare service) or the correct use of an existing building or empty space. In this thesis we propose an approach to address the preceding challenges availed with machine learning techniques with the random forests classifier as its dominant method in a system that combines, blends and merges various types of data from different sources, encode them using a novel semantic model that can capture and utilize both low-level geometric information and higher level semantic information and subsequently feeds them to the random forests classifier. The data are also forwarded to alternative classifiers and the results are appraised to confirm the prevalence of the proposed method. The data retrieved stem from a multitude of sources, e.g. open data providers and public organizations dealing with urban planning. Upon their retrieval and inspection at various levels (e.g. import, conversion, geospatial) they are appropriately converted to comply with the rules of the semantic model and the technical specifications of the corresponding subsystems. Geometrical and geographical calculations are performed and semantic information is extracted. Finally, the information from individual earlier stages along with the results from the machine learning techniques and the multicriteria methods are integrated into the system and visualized in a front-end web based environment able to execute and visualize spatial queries, allow the management of three-dimensional georeferenced objects, their retrieval, transformation and visualization, as a decision support system. Note de contenu : Introduction
1- Theorical background and State of the Art
2- Thesis contribution to semantic querying, navigation and spatial decision Making of 3D Urban Scenes using Machine Learning
3- Evaluation discussion et conclusionsNuméro de notice : 25995 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE/URBANISME Nature : Thèse française Note de thèse : Thèse de Doctorat : Informatique : Université de Limoges : 2019 Organisme de stage : XLIM (Limoges) nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02449667/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96808
Titre : Thinking Time Geography : Concepts, Methods and Applications Type de document : Monographie Auteurs : Kajsa Ellegård, Auteur Editeur : Londres : Routledge Année de publication : 2019 Collection : Routledge Studies in Human Geography Importance : 172 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-138-57379-6 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aménagement du territoire
[Termes IGN] comportement
[Termes IGN] données spatiotemporelles
[Termes IGN] géographie humaine
[Termes IGN] migration humaine
[Termes IGN] ontologie
[Termes IGN] représentation graphique
[Termes IGN] SIG temporel
[Termes IGN] sociologie
[Termes IGN] Time-geography
[Termes IGN] urbanismeRésumé : (éditeur) Time-geography is a mode of thinking that helps in the understanding of change in society, the wider context and ecological consequences of human actions. This book presents its assumptions, concepts and methods, and example applications. The intellectual path of the Swedish geographer Torsten Hägerstrand is a key foundation for this book. His research contributions are shown in the context of the urbanization of Sweden, involvement in the emerging planning sector and empirical studies on Swedish emigration. Migration and innovation diffusion studies paved the way for prioritizing time and space dimensions and recognizing time and space as unity. From these insights time-geography grew. This book includes the ontological grounds and concepts as well as the specific notation system of time-geography – a visual language for interdisciplinary research and communication. Applications are divided into themes: urban and regional planning; transportation and communication; organization of production and work; everyday life, wellbeing and household division of labor; and ecological sustainability – time-geographic studies on resource use. This book looks at the outlook for this developing branch of research and the future application of time-geography to societal and academic contexts. Its interdisciplinary nature will be appealing to postgraduates and researchers who are interested in human geography, urban and regional planning and sociology. Note de contenu : Part I Introducing the time-geographic approach
Part II Applications of the time-geographic approach
Part III Spread, criticism and futureNuméro de notice : 25849 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Monographie DOI : sans En ligne : https://www.taylorfrancis.com/books/9780203701386 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95434 Visual exploration of migration patterns in gull data / Maximilian Konzack in Information visualization, vol 18 n° 1 (January 2019)PermalinkAn efficient technique for creating a continuum of equal-area map projections / Daniel "daan" Strebe in Cartography and Geographic Information Science, Vol 45 n° 6 (November 2018)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)PermalinkDesign and implementation of a 4D Web application for analytical visualization of smart city applications / Syed Monjur Murshed in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkTesting time-geographic density estimation for home range analysis using an agent-based model of animal movement / Joni A. Downs in International journal of geographical information science IJGIS, vol 32 n° 7-8 (July - August 2018)PermalinkExtraction of spatio‐temporal data about historical events from text documents / Susanna Abraham in Transactions in GIS, vol 22 n° 3 (June 2018)PermalinkFeasibility of the space-time cube in temporal cultural landscape visualization / Edyta P. Bogucka in ISPRS International journal of geo-information, vol 7 n° 6 (June 2018)Permalink