ScaleMaster2.0: A ScaleMaster Extension to Monitor Automatic Multi-Scales Generalisations

Guillaume Touya (1, 2) , Jean-François Girres (2)

1 LaSTIG - Laboratoire des Sciences et Technologies de l'Information Géographique
2 COGIT - Cartographie et Géomatique

Little by little, the co-existing geographical datasets are integrated into Multi-Representation Databases, where the datasets represent different level of detail , or different point of views for the same geographical features. The ScaleMaster model from Brewer and Buttenfield (2007) allows formalising how to choose the features to map from the different datasets. The paper proposes an extension of the ScaleMaster model that drives automatic generalisation rather than guidelines for manual mapmaking. This ScaleMaster2.0 has been implemented and is tested for a use case with real data.

Mots clés: Generalisation; ScaleMaster; Multi-Representation Database

Domaines: Informatique [cs]

Guillaume Touya, Jean-François Girres. ScaleMaster2.0: A ScaleMaster Extension to Monitor Automatic Multi-Scales Generalisations. Cartography and Geographic Information Science, 2013, 40 (3), pp.192-200. ⟨10.1080/15230406.2013.809233⟩. ⟨hal-02288770⟩