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AGILE 2015, 18th International Conference on Geographic Information Science, Geographic Information Science as an enabler of smarter cities and communities 09/06/2015 12/06/2015 Lisbonne Portugal OA Proceedings
nom du congrès :
AGILE 2015, 18th International Conference on Geographic Information Science, Geographic Information Science as an enabler of smarter cities and communities
début du congrès :
09/06/2015
fin du congrès :
12/06/2015
ville du congrès :
Lisbonne
pays du congrès :
Portugal
site des actes du congrès :
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Affiner la recherche Interroger des sources externesAn aggregated graph to qualify historical spatial networks using temporal patterns detection / Benoit Costes (2015)
Titre : An aggregated graph to qualify historical spatial networks using temporal patterns detection Type de document : Article/Communication Auteurs : Benoit Costes Editeur : Association of Geographic Information Laboratories in Europe AGILE Année de publication : 2015 Conférence : AGILE 2015, 18th International Conference on Geographic Information Science, Geographic Information Science as an enabler of smarter cities and communities 09/06/2015 12/06/2015 Lisbonne Portugal OA Proceedings Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] carte ancienne
[Termes IGN] cohérence des données
[Termes IGN] détection d'anomalie
[Termes IGN] graphe
[Termes IGN] modèle topologique complet
[Termes IGN] Paris (75)
[Termes IGN] réseau routierRésumé : (auteur) This paper introduces a model of an aggregated graph suitable to study dynamics of city street networks, and a method to build it. Using temporal pattern detection, it allows detecting inconsistencies in historical spatial networks attributable mainly to old maps themselves, without ground truth data but by comparing each data with each other, and helps to take into account their imperfections such as differences in levels of detail, incompleteness, fuzzy temporalisation, geometric inaccuracies and so on, in the objective of performing further spatio-temporal analyses with corrected data. Our model is applied on Paris old street network at five different temporalities. Numéro de notice : C2015-011 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl En ligne : https://agile-online.org/index.php/conference/proceedings/proceedings-2015 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81041 Documents numériques
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