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Advances in 3D Geoinformation / Alias Abdul-Rahman (2017)  

Public Titre : Advances in 3D Geoinformation : [selected papers] 3D GeoInfo 2015, Joint International Geoinformation Conference, Kuala Lumpur, Malaysia, 28 - 30 October 2015 Type de document : Actes de congrès Auteurs : Alias Abdul-Rahman, Éditeur scientifique Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2017 Collection : Lecture notes in Geoinformation and Cartography, ISSN 1863-2246 Conférence : 3D Geoinfo 2015, ISPRS 10th international conference 28/10/2015 30/10/2015 Kuala Lumpur Malaisie Proceedings Springer Importance : 512 p. ISBN/ISSN/EAN : 978-3-319-25691-7 Langues : Anglais (eng) Résumé : (éditeur) The book presents a collection of accepted papers from the 3DGeoinfo 2015 international conference held in Kuala Lumpur, Malaysia from October 28 – 30, 2015. All papers underwent double-blind review by experts from around the globe. The conference brought together pioneering international researchers and practitioners to facilitate the dialogue on emerging topics in the field of 3D geo-information. The focus areas include: - Data Collection and Modeling: advanced approaches for 3D data collection, reconstruction and methods for representation- Data Management: topological, geometrical and network models for maintenance of 3D geoinformation- Data Analysis and Visualization: frameworks for representing 3D spatial relationships, 3D spatial analysis and algorithms for navigation, interpolation, advanced VR, AR and MR visualisation, as well as 3D visualization on mobile devices- 3D Applications: city models, Cadastre, LBS, etc. Numéro de notice : 17331 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes DOI : 10.1007/978-3-319-25691-7 En ligne : http://dx.doi.org/10.1007/978-3-319-25691-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83286

Contient

• Stochastic buildings generation to assist in the design of right to build plans / Mickaël Brasebin (2016)    

Stochastic buildings generation to assist in the design of right to build plans / Mickaël Brasebin (2016)    

Public contenu dans Advances in 3D Geoinformation / Alias Abdul-Rahman (2017)   Titre : Stochastic buildings generation to assist in the design of right to build plans Type de document : Article/Communication Auteurs : Mickaël Brasebin , Auteur ; Julien Perret , Auteur ; Romain Reuillon, Auteur Editeur : Springer International Publishing Année de publication : 2016 Conférence : 3D Geoinfo 2015, ISPRS 10th international conference 28/10/2015 30/10/2015 Kuala Lumpur Malaisie Proceedings Springer Importance : pp 373 - 384 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] bâtiment [Termes IGN] données ouvertes [Termes IGN] dynamique spatiale [Termes IGN] permis de construire [Termes IGN] zone urbaine Résumé : (auteur) The design of documents impacting potential new constructions, such as Right to Build plans, is a complex issue. New tools need to be proposed in order to systematically assess the impact of regulations on the building potential of the concerned areas. Furthermore, it is often not directly the morphology of new constructions that administrations and citizens would like to regulate but their properties with regard to other phenomena (solar energy potential, etc.). In order to tackle these issues, we propose in this article to explore building configurations and regulations using a stochastic building generator and a workflow engine. The workflow we propose for such an exploration will produce important amounts of data that we intend to release as OpenData in order for administrations, urban planners and citizens to be able to freely visualize and collectively choose the regulations that best suit their territory. Such amount of 3D geographical data also suggests new issues in geovisualization. Numéro de notice : C2015-031 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE/INFORMATIQUE/URBANISME Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-25691-7_21 Date de publication en ligne : 18/10/2016 En ligne : https://doi.org/10.1007/978-3-319-25691-7_21 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83285

Documents numériques

peut être téléchargé Stochastic buildings generation - pre-print Adobe Acrobat PDF