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The development of phenomenological generalization within an object-oriented paradigm / D. Ormsby in Cartography and Geographic Information Science, vol 26 n° 1 (January 1999)
[article]
Titre : The development of phenomenological generalization within an object-oriented paradigm Type de document : Article/Communication Auteurs : D. Ormsby, Auteur ; William A Mackaness, Auteur Année de publication : 1999 Article en page(s) : pp 70 - 80 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] généralisation
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] généralisation géométrique (de visualisation)
[Termes IGN] modèle entité-association
[Termes IGN] modèle orienté objet
[Termes IGN] phénomène géographique
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This paper presents a "phenomenological" framework that incorporates information relating to 1) an object's geometry, 2) its semantic properties, and 3) the interobject relationships. It is argued that this information is required in order to devise algorithms and design strategies capable of abstracting the meaning inherent in the phenomenon being mapped. The fundamental challenge is to design generic algorithms that are powerful and flexible enough to provide varying solutions according to this information. It is argued that this can be achieved by implementing functionality at the object level, and that the objectoriented paradigm provides a flexible modeling environment that obviates the need to develop bespoke algorithms for each and every feature type. This approach is applied to extend a geometric based algorithm for area feature generalization into a phenomena based algorithm which takes into account the semantic meaning and contextual relationships of the real world objects. Solutions derived from the algorithm demonstrate its success at generating varying results for different types of phenomena and map subjects. Numéro de notice : A1999-172 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304099782424910 En ligne : https://doi.org/10.1559/152304099782424910 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26370
in Cartography and Geographic Information Science > vol 26 n° 1 (January 1999) . - pp 70 - 80[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-99011 RAB Revue Centre de documentation En réserve L003 Disponible Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization / Corinne Plazanet in Geoinformatica, vol 2 n° 4 (December 1998)
[article]
Titre : Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization Type de document : Article/Communication Auteurs : Corinne Plazanet , Auteur ; Nara Martini Bigolin, Auteur ; Anne Ruas , Auteur Année de publication : 1998 Article en page(s) : pp 315 - 333 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] acquisition de connaissances
[Termes IGN] apprentissage dirigé
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] lissage de courbe
[Termes IGN] objet géographique linéaire
[Vedettes matières IGN] GénéralisationRésumé : (auteur) The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographical context. Geographical databases need to be enriched in terms of shape description structures (geometrical knowledge), knowledge of appropriate order of operations and of appropriate algorithms (procedural knowledge). Stored knowledge should take account of semantic and morphological characteristics, and of cartographic constraints.
This paper proposes and discusses three experiments on knowledge acquisition using unsupervised and supervised learning techniques. In order to exploit geometrical shape knowledge, classifications were computed according to a set of morphological measures using unsupervised learning. Choice of appropriate operations was determined by the results of a test with IGN cartographers considering line characteristics. These results were given to a supervised learning algorithm, along with corresponding computed measures in order to discover rules. The approach and the resulting rules are presented and discussed. Tests have also been conducted on the tuning of parameter values, applying a Gaussian smoothing tolerance value to a set of lines using the supervised learning algorithm. The values obtained by means of the learning algorithm have been compared with interactive choices of an expert. Results are promising with a prediction rate higher than 80% having been obtained.Numéro de notice : A1998-144 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1023/A:1009753320636 En ligne : http://dx.doi.org/10.1023/A:1009753320636 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98052
in Geoinformatica > vol 2 n° 4 (December 1998) . - pp 315 - 333[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-98041 RAB Revue Centre de documentation En réserve L003 Disponible Map production from an active object database, using dynamic representation and automated generalisation / P.G. Hardy in Cartographic journal (the), vol 35 n° 2 (December 1998)
[article]
Titre : Map production from an active object database, using dynamic representation and automated generalisation Type de document : Article/Communication Auteurs : P.G. Hardy, Auteur Année de publication : 1998 Article en page(s) : pp 181 - 189 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données localisées
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] modèle orienté objet
[Termes IGN] représentation cartographique
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Map production has been seen previously as a standalone task, compiling information together from various sources to produce a particular cartographic product. This traditional view is now challenged by the availability of new environments which bring together databasing, object data modelling, image analysis, active agent behaviour and automated cartography to produce a unified flow line for production of multiple maps, charts, and geospatial data. This paper overviews the capabilities of a modern map production application built around an objectoriented geospatial database, and specifically highlights its capabilities for active representation, multiple geometry and automated generalisation, in order to explore the benefits and future directions of active object mapping. Numéro de notice : A1998-205 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/caj.1998.35.2.181 En ligne : https://doi.org/10.1179/caj.1998.35.2.181 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26169
in Cartographic journal (the) > vol 35 n° 2 (December 1998) . - pp 181 - 189[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-98021 RAB Revue Centre de documentation En réserve L003 Disponible A method for building displacement in automated map generalisation / Anne Ruas in International journal of geographical information science IJGIS, vol 12 n° 8 (december 1998)
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Titre : A method for building displacement in automated map generalisation Type de document : Article/Communication Auteurs : Anne Ruas , Auteur Année de publication : 1998 Article en page(s) : pp 789 - 803 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] conflit d'espace
[Termes IGN] déplacement d'objet géographique
[Termes IGN] généralisation cartographique automatisée
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) : The automation of the map design process through map generalisation continues to be a challenging area of research. It is acknowledged that a diverse range of techniques are applied during the process of map generalisation and these have been mirrored by the creation of a range of algorithms that mimic these discrete operations (such as typification, aggregation, selection). This paper discusses in detail one such algorithm that resolves conflict among objects through displacement. Perhaps more critical than the algorithm itself, is the stage prior to the application of displacement (identification, modelling), and the phase after application (the evaluation). It is argued that these two stages are absolutely critical to the successful design of automated systems. The paper begins with a review of other approaches to displacement and then describes a methodology that encompasses detection, resolution through displacement, and evaluation. This methodology has been implemented in Stratège, an object oriented expert system devoted to contextual generalisation. Details of the implementation are given, and results are illustrated using 'real' geographical data. The results are evaluated and the applicability of the entire methodology is discussed in the broader context of other map generalisation algorithms, based on the explicit representation of constraints. Numéro de notice : A1998-203 Affiliation des auteurs : COGIT (1988-2011) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/136588198241509 Date de publication en ligne : 06/08/2010 En ligne : https://doi.org/10.1080/136588198241509 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26167
in International journal of geographical information science IJGIS > vol 12 n° 8 (december 1998) . - pp 789 - 803[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-98081 RAB Revue Centre de documentation En réserve L003 Disponible Multi-scale categorical data bases with automatic generalization transformations based on Map Algebra / Olli Jaakkola in Cartography and geographic information systems, vol 25 n° 4 (October 1998)
[article]
Titre : Multi-scale categorical data bases with automatic generalization transformations based on Map Algebra Type de document : Article/Communication Auteurs : Olli Jaakkola, Auteur Année de publication : 1998 Article en page(s) : pp 195 - 207 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] base de données multi-représentation
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] jeu de données localisées
[Termes IGN] langage de modélisation
[Termes IGN] Map Algebra
[Termes IGN] objet géographique zonal
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) The problem of generalizing spatial data sets has been studied in the context of categorical data. Map Algebra, a deterministic modeling language, has been chosen as the modeling language for the generalization transformations. The methodology is based on simple basic Map Algebra functions, which are brought together and run as a sequenced batch file. From the basic Map Algebra functions, several individual generalization transformations have been composed ; the three most important are described extensively in the paper. The two major practical projects implemented with the automatic generalization transformations are presented. Finally, the results of the methodological development for generalizing categorical databases are presented and the prospects for extending the methodology are discussed. Numéro de notice : A1998-204 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1559/152304098782383016 En ligne : https://doi.org/10.1559/152304098782383016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26168
in Cartography and geographic information systems > vol 25 n° 4 (October 1998) . - pp 195 - 207[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-98041 RAB Revue Centre de documentation En réserve L003 Disponible Approche et méthodes pour l'automatisation de la généralisation cartographique / Jean-François Hangouët (1998)PermalinkCauses and consequences of map generalisation / Elsa Maria Joao (1998)PermalinkGALBE: adaptative generalisation / Sébastien Mustière (1998)PermalinkGénéralisation adaptative du linéaire basée sur la détection des empâtements : application au routier / Sébastien Mustière (1998)PermalinkPermalinkGénéralisation contextuelle / Anne Ruas (1998)PermalinkGénéralisation du linéaire : une approche nouvelle / Jean-Georges Affholder (1998)PermalinkGeneralisation methods for propagating updates between cartographic data sets / Lars Harrie (1998)PermalinkGénéralisation du réseau / Emmanuel Fritsch (1998)PermalinkJournées recherche [du] COGIT, Conception Objet et Généralisation de l'Information Topographique / COGIT (1988 - 2016) (1998)Permalink