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Deformation using agents for map generalization : application to the preservation of relationships between fields and objects / Julien Gaffuri (01/06/2006)
contenu dans AutoCarto 2006, Vancouver, Washington, Volume 1. Papers / Cartography and geographic information society (2006)
Titre : Deformation using agents for map generalization : application to the preservation of relationships between fields and objects Type de document : Article/Communication Auteurs : Julien Gaffuri , Auteur Editeur : [s.l.] : [s.n.] Année de publication : 01/06/2006 Conférence : Auto-Carto 2006, international symposium on cartography and computing 26/06/2006 28/06/2006 Vancouver Colombie britannique - Canada OA Proceedings Importance : 12 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation cartographique automatisée
[Termes IGN] modèle orienté agent
[Termes IGN] objet géographique
[Termes IGN] programmation par contraintes
[Termes IGN] relief
[Termes IGN] triangulation de Delaunay
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Some research in map generalization techniques using the agent paradigm have allowed to progress significantly toward automation. These models allow the computation of discrete transformations of the objects but are not adapted for continuous transformations such as deformations. Our challenge is to allow these models to manage such continuous transformations. As an application, we aim to introduce field data such as the relief in agent-based generalization models. Many relationships exist between fields and objects (especially buildings, roads and rivers). Our concern is to preserve these relationships. We propose to allow the geographic agents to deform a field during the generalization process. To attain this objective, we propose a model: 1- To measure and interpret relationships between fields and objects (this allows to define new constraints), 2- To compute fields deformations under objects stretching, 3- To manage the automatic trigger of these measurements and deformations in the existing agent based generalization models. We propose to model the field as a triangulation, and to explicit some shape preservation constraints on the points, segments, angles and triangles composing the field. When a point is stretched, its displacement propagates to its neighbors using a multi-agent convergence method we have built. Numéro de notice : A2006-664 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://cartogis.org/docs/proceedings/2006/julien.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64341 Documents numériques
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14346_auto-carto_2006__gaffuri.pdfAdobe Acrobat PDF How to merge optimization and agent-based techniques in a single generalization model? / Julien Gaffuri (2006)
Titre : How to merge optimization and agent-based techniques in a single generalization model? Type de document : Article/Communication Auteurs : Julien Gaffuri , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 2006 Conférence : ICA 2006, 10th ICA Workshop, Commission on Map Generalisation and Multiple Representation 25/06/2006 28/06/2006 Portland Etats-Unis OA Proceedings Importance : 15 p. Format : 21 X 30 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agent (intelligence artificielle)
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] optimisation (mathématiques)
[Termes IGN] système multi-agents
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) [introduction] Many works in generalization automation concern the conception of generalization models. The role of generalization models is to get a complete framework to perform the complete generalization of a geographic dataset. In most of them, generalization is seen as a constraint satisfaction problem. Constraints are made explicit following (Beard, 1991), and are a translation of the final map requirements. Some constraints concern the legibility of the objects (for example, objects must not be too closed), and force their geometry to change (too closed objects are displaced), while other constraints force to preserve some characteristics of the objects (an object should preserve its position and its shape). Generalization models aim to find a way to manage the satisfaction of these change and preservation constraints. In this paper, we focus especially on two families of generalization models: Optimization- based models, illustrated by the works of Sester (2005), Harrie & Sarjakoski (2002), Højholt (2000), Bader (2001), Burghardt & Meier (1997), and Agent-based models of Duchêne (2004), Ruas (1999), and the AGENT project (Barrault et al., 2001). An important difference between optimization and agent-based models comes from the way the constraints are considered. In the optimization models, the constraints are satisfied altogether in one step, using a global resolution method to find a compromise between them: all the constraints are “elastic” and a balance between them is found. In the agent-based models, constraints are satisfied step by step, by triggering an algorithm to solve an identified cartographic conflict. The constraints are satisfied depending on an importance value. The result is not a compromise between the constraints: the most important constraints are satisfied totally while others, less important, are relaxed. These two families of models have provided very good improvements and are now used in several map series production lines as presented in (Lemarié, 2003; Lecordix, 2005). The purpose of this article is to show that these models have different application fields and combining it would allow to improve the automatic generalization process. We show that optimization-based models are much more adapted to compute “continuous transformations”, such as deformations, while agent-based models are adapted to “discrete transformation”. We introduce the notion of “malleable” and “rigid” objects. Numéro de notice : 13683 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : sans En ligne : https://kartographie.geo.tu-dresden.de/downloads/ica-gen/workshop2006/ICA2006-Ga [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64266 Documents numériques
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13683_ica2006_gaffuri.pdfAdobe Acrobat PDF Système multi-agent pour la déformation en généralisation cartographique : un problème multi niveau / Julien Gaffuri (2006)
Titre : Système multi-agent pour la déformation en généralisation cartographique : un problème multi niveau Type de document : Article/Communication Auteurs : Julien Gaffuri , Auteur Editeur : Paris : Hermès - Lavoisier Année de publication : 2006 Conférence : JFSMA 2006, 14es journées francophones sur les systèmes multi-agents, Systemes Multi-Agents, Articulation entre l'individuel et le collectif 18/10/2006 20/10/2006 Annecy France contents in DBLP site Importance : pp 99 - 112 Langues : Français (fre) Descripteur : [Termes IGN] agent (intelligence artificielle)
[Termes IGN] déformation d'objet
[Termes IGN] déplacement d'objet géographique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] programmation par contraintes
[Termes IGN] système multi-agents
[Vedettes matières IGN] GénéralisationNuméro de notice : C2006-004 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76253 Toward a taken into account of the background themes in a multi-agent generalisation process / Julien Gaffuri (2005)
Titre : Toward a taken into account of the background themes in a multi-agent generalisation process Type de document : Article/Communication Auteurs : Julien Gaffuri , Auteur Editeur : Paris : Institut Géographique National - IGN (1940-2007) Année de publication : 2005 Conférence : ICA 2005, 9th Workshop on Generalisation and Multiple Representation 07/07/2005 08/07/2005 La Corogne Espagne program only Note générale : PAS DE DOCUMENT, NI D'URL Langues : Anglais (eng) Descripteur : [Termes IGN] agent (intelligence artificielle)
[Vedettes matières IGN] GénéralisationNuméro de notice : C2005-061 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103492
Titre : Role of urban patterns for building generalisation: an application of Agent Type de document : Article/Communication Auteurs : Julien Gaffuri , Auteur ; Jenny Trévisan, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2004 Conférence : ICA 2004, 8th workshop, Commission on generalisation and multiple representation 20/08/2004 21/08/2004 Leicester Royaume-Uni OA Proceedings Importance : 11 p. Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] AGENT
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation du bâti
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) [introduction] [...] The AGENT prototype results from the European project AGENT ended in 2000. It is a significant progress in automatic building generalisation in urban areas, as shown in [BAR 01] and [DUC 01]. At IGN, the French mapping agency, some recent developments such as the AGENT prototype are more and more ported to map production lines: it shows the interest of production for new tools and creates new needs of development improvements. That is why some recent works in COGIT deal with urban analysis to improve contextual generalisation for 1:50000 scaled maps. This paper presents how this results have been gathered together and adapted to be integrated with the AGENT prototype. First and foremost, we will see how the geographic data have been enriched and characterized for 1:50000 generalisation. In a second part, we will remind the principles of the AGENT prototype and present how the recent works can be used to improve its results for building generalisation. Numéro de notice : 13845 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication DOI : sans En ligne : https://kartographie.geo.tu-dresden.de/downloads/ica-gen/workshop2004/Gaffuri-v2 [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64281 Documents numériques
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13845_commu_ica_workshop_2004_gaffuri.pdfAdobe Acrobat PDF Cartographie des trafics / Julien Gaffuri in Le monde des cartes, n° 172 (juin - août 2002)PermalinkApports de la télédétection et des SIG à l'étude des inondations de la ville de Saint-Louis du Sénégal / Julien Gaffuri (2002)Permalink