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Auteur Liu Yaolin |
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Spatial object aggregation based on data structure, local triangulation and hierarchical analyzing method / Liu Yaolin (2001)
contenu dans Mapping the 21st century: the 20th International Cartographic Conference, ICC 2001, Beijing, China, August 6 - 10, 2001, vol 3. Proceedings / L. Li (2001)
Titre : Spatial object aggregation based on data structure, local triangulation and hierarchical analyzing method Type de document : Article/Communication Auteurs : Liu Yaolin, Auteur ; Martien Molenaar, Auteur ; Menno-Jan Kraak, Auteur Editeur : International Cartographic Association ICA - Association cartographique internationale ACI Année de publication : 2001 Conférence : ICC 2001, 20th International Cartographic Conference ICA, Mapping the 21th century 06/08/2001 10/08/2001 Pékin Chine OA Proceedings Importance : pp 1625 - 1640 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie numérique
[Termes IGN] agrégation de données
[Termes IGN] approche hiérarchique
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] information sémantique
[Termes IGN] modèle conceptuel de données
[Termes IGN] objet géographique
[Termes IGN] structure de données localisées
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) Aggregation for spatial objects plays an important role in database or model generalization in GI since reducing spatial complexity is one of the major aims of model generalization. The aggregation operation can be considered as a geometrical operation under the control of semantic and spatial relation of objects. The process of spatial object aggregation is the process of spatial, semantic analyzing, decision-making and the implementation of operation. This process needs not only the geometric and thematic attributes of the objects, but also the spatial and semantic relationship among the objects. It also needs the supporting data structure and analyzing tools in order to make analyzing, decision-making and computation easy in aggregation process. There is still lack of studies on how data structure supports aggregation process and also lack of the method for semantic analysis in aggregation process. This paper is to focus methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the object with the help of spatial data structure (Formal Data Structure), local constrained Delaunay triangulations and semantic hierarchy. The adjacent relation among connected objects an unconnected objects has been studied through constrained triangle as elementary processing unit aggregation operation. The hierarchical semantic analytical matrix is given for analyzing the similarity between object types and between objects (including different levels). It will govern and guide aggregation process. The several different cases of aggregation have been presented in this paper. Numéro de notice : C2001-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://icaci.org/files/documents/ICC_proceedings/ICC2001/icc2001/file/f11058.pd [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64949