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Coordinative agents for automated generalisation of rural areas / Cécile Duchêne (01/04/2003)

Public contenu dans Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003) Titre : Coordinative agents for automated generalisation of rural areas Type de document : Article/Communication Auteurs : Cécile Duchêne , Auteur Congrès : ICA 2003, 5th workshop commission on Progress in automated map generalisation (28 - 30 avril 2003; Paris, France), Auteur Editeur : Paris : Institut Géographique National - IGN Année de publication : 01/04/2003 Importance : 8 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données topographiques [Termes IGN] généralisation cartographique automatisée [Termes IGN] objet géographique [Termes IGN] représentation multiple [Termes IGN] système multi-agents [Termes IGN] zone rurale [Vedettes matières IGN] Généralisation Résumé : (Auteur) We work on automating the generalisation of topographic databases, in order to produce topographic maps. We use an agent-oriented approach: the geographic features (roads, rivers, buildings etc.) are modelled as autonomous agents, as it has previously been done within the European AGENT project. To handle rural areas, our approach then consists in letting these agents interact so that each of them either finds its new place and geometric representation or eliminates itself, so that the whole fits to the generalisation specifications. For that, our agents are provided with capacities of perception of their spatial environment, as well as capacities of dialoguing with the surrounding agents. This approach has been implemented and tested on real subsets of data. In this paper we describe the system. Some encouraging results are also presented and discussed. Numéro de notice : C2003-026 Affiliation des auteurs : IGN (1940-2011) Thématique : GEOMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65005

Evaluation of generalisation quality / Sylvain Bard (01/04/2003)

Public contenu dans Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003) Titre : Evaluation of generalisation quality Type de document : Article/Communication Auteurs : Sylvain Bard , Auteur Congrès : ICA 2003, 5th workshop commission on Progress in automated map generalisation (28 - 30 avril 2003; Paris, France), Auteur Editeur : Paris, ... [Suède] : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 01/04/2003 Importance : 8 p. Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] agrégation de détails [Termes IGN] généralisation cartographique automatisée [Termes IGN] qualité des données [Termes IGN] qualité du processus [Termes IGN] visualisation [Termes IGN] zone urbaine [Vedettes matières IGN] Généralisation Résumé : (Auteur) This paper proposes a methodology to assess the quality of generalisation. Generalisation consists in representing in a simplified way a geographic space, according to the scale and to the objectives of the map. The automation of this process makes the derivation of data easier, but the data quality of the results is often not evaluated. This paper deals with the definition of generalisation evolution reference and of an assessment model. A generalisation evolution reference is the definition of the expected evolution of a geographical feature property during generalisation. The assessment model is based on (1) a data characterisation in their initial and final state at different level of analysis (micro and meso), (2) a data quality assessment from the comparison of the two previous characterisations and (3) the aggregation of the various assessment results to summarise data quality. The assessment algorithm has been implemented and the method has been tested to assess the generalisation of a small urban area. A visualisation tool of assessment results has been developed to validate the generalisation evaluation. Results are presented and discussed at the end of the paper. Numéro de notice : C2003-025 Affiliation des auteurs : IGN (1940-2011) Thématique : GEOMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65004

A method based on samples to capture user needs for generalisation / Frédéric Hubert (01/04/2003)

Public contenu dans Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003) Titre : A method based on samples to capture user needs for generalisation Type de document : Article/Communication Auteurs : Frédéric Hubert, Auteur ; Anne Ruas , Auteur Congrès : ICA 2003, 5th workshop commission on Progress in automated map generalisation (28 - 30 avril 2003; Paris, France), Auteur Editeur : Paris, ... [Suède] : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 01/04/2003 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données cartographiques [Termes IGN] bati [Termes IGN] généralisation cartographique automatisée [Termes IGN] interface utilisateur [Termes IGN] interface web [Termes IGN] langage naturel (informatique) [Termes IGN] représentation des détails topographiques [Vedettes matières IGN] Généralisation Résumé : (Auteur) Recent models and systems of generalisation allow to produce new representations of geographical information according to generalisation constraints. One of the shortcomings is that they still can not be tuned easily according to different user needs. In the present paper, we propose an implemented system made of web interface and specific modelling and engine that proposes a user with a set of already generalised objects used to identify his needs. The principle is to create a sample data base that contains the information related to the constraints used to obtain a large set of different types of generalisation. These samples are proposed to the user who chooses the solutions that look like what he is looking for. Behind the interface, the system analyses the answers to gradually converge towards the optimal final parameter values, if possible. Natural language has been added for the first step of the query to being more flexibility and to allow some qualitative reaction of the user (such as 'bigger' or 'with less details'). As a first try the work has been limited to the generalisation of buildings but the data modelling has been conceived in a generic way to allow the extension to other types of objects. Numéro de notice : C2003-029 Affiliation des auteurs : IGN (1940-2011) Thématique : GEOMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65008

Quantitative and qualitative description of building orientation / Cécile Duchêne (01/04/2003)

Public contenu dans Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003) Titre : Quantitative and qualitative description of building orientation Type de document : Article/Communication Auteurs : Cécile Duchêne , Auteur ; Sylvain Bard , Auteur ; Xavier Barillot , Auteur ; Jenny Trévisan, Auteur ; Florence Holzapfel, Auteur ; Anne Ruas , Auteur Congrès : ICA 2003, 5th workshop commission on Progress in automated map generalisation (28 - 30 avril 2003; Paris, France), Auteur Editeur : Paris, ... [Suède] : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 01/04/2003 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique [Termes IGN] bati [Termes IGN] généralisation cartographique automatisée [Termes IGN] Lamps2 [Termes IGN] orientation Résumé : (Auteur) This paper deals with the automation of the cartographic generalisation and proposes a new measure of the orientation of a building. The description of this characteristic is a complex issue, as if the computing of orientation is relatively clear for a segment or a line, this is not the case for a polygon. Thus, existing measures of orientation are briefly reviewed. Our measure is inspired by the measure of building orientation of walls, modulo . The proposed modification is an adaptation of this measure modulo /2, associated with a confidence indicator on it, and is called Wall statistical weighting. We show that this new measure can be combined with existing ones to better describe and generalise buildings. Numéro de notice : C2003-027 Affiliation des auteurs : IGN (1940-2011) Thématique : GEOMATIQUE Nature : Communication Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65006

Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 / Commission on map generalization ICA (2003)

Public Titre : Fifth workshop on progress in automated map generalization, IGN, St Mandé (Paris), France, 28 - 30 April 2003 Type de document : Actes de congrès Auteurs : Commission on map generalization ICA, Editeur scientifique Congrès : ICA 2003, 5th workshop commission on Progress in automated map generalisation (28 - 30 avril 2003; Paris, France), Commanditaire Editeur : Paris, ... [Suède] : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2003 Importance : 320 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Termes IGN] agent (intelligence artificielle) [Termes IGN] généralisation automatique de données [Termes IGN] généralisation de base de données [Termes IGN] modèle (conceptuel) de généralisation [Termes IGN] optimisation (mathématiques) [Vedettes matières IGN] Généralisation Note de contenu : 1- Developments for production cartography 1 2- Developments for production cartography 2 3- Generalization 3D objects and model generalization 4- Generalization algorithms 5- Measures and data enrichment 6- Knowledge extraction, the user and generalization quality 7- Generalization using techniques from optimization and computational intelligence 8- Agent-based and knowledge-based methods Numéro de notice : 21381 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90123

Contient

• Coordinative agents for automated generalisation of rural areas / Cécile Duchêne (01/04/2003)
• Evaluation of generalisation quality / Sylvain Bard (01/04/2003)
• A method based on samples to capture user needs for generalisation / Frédéric Hubert (01/04/2003)
• Quantitative and qualitative description of building orientation / Cécile Duchêne (01/04/2003)
• Generalisation process for top100: research in generalisation brought to fruition / Cécile Lemarié (2003)

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
21381-01	CG2003	Livre	Centre de documentation	Congrès	Disponible