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Le Modèle CollaGen : collaboration de processus automatiques pour la généralisation cartographique de paysages hétérogènes

Guillaume Touya 1 
1 COGIT - Cartographie et Géomatique
LaSTIG - Laboratoire des Sciences et Technologies de l'Information Géographique
Abstract : This phd thesis deals with cartographic generalisation, the process that simplifies a geographic database to allow its representation on legible map. Past research lead to the development of many automatic generalisation processes, each one being specialised for a specific problem like a particular landscape, a given data theme, a particular graphic conflict or a mix of the three (like ‘proximity between buildings in urban areas). The aim of the thesis is to benefit from this diversity to carry out a complete map generalisation by collaboration between complementary processes. To meet this objective, the CollaGen model is proposed (Collaborative Generalisation) as it allows, based on multi-agent techniques, generalisation processes collaboration : data is relevantly partitioned into geographic spaces (e.g. an urban area or the road network) ; then CollaGen orchestrate the generalisation of a space by an adapted process. CollaGen iterately maps a space to be generalised and an adapted process thanks to a yellow pages registry mecanism. The interoperability between processes is managed by a domain ontology on which formal map specifications are based. Each generalization is globally assessed online to allow backtracks if necessary. Finally, because of the space partitioning, CollaGen has to check after each generalisation if side effects appeared with spaces just outside the one that has been generalised. If some side effects occurred, they are corrected. In this thesis, CollaGen is implemented for topographic map generalisation (to 1 : 50000) and results obtained are compared to other approaches and discussed
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Submitted on : Monday, January 30, 2012 - 4:18:10 PM
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  • HAL Id : tel-00664464, version 1



Guillaume Touya. Le Modèle CollaGen : collaboration de processus automatiques pour la généralisation cartographique de paysages hétérogènes. Géographie. Université Paris-Est, 2011. Français. ⟨NNT : 2011PEST1052⟩. ⟨tel-00664464⟩



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