@article{touyaGirres13, abstract = {Little by little, co-existing geographical data sets are integrated into multi-representation databases, where the data sets represent different level of detail, or different point of views for the same geographical features. The {ScaleMaster} model makes it possible to formalize how to choose the features to map from the different data sets. The paper proposes an extension of the {ScaleMaster} model that drives automatic generalization rather than guidelines for manual mapmaking. The {ScaleMaster} 2.0 has been implemented and is tested for use with real data.}, author = {Touya, Guillaume and Girres, Jean-Fran\c{c}ois}, day = {1}, doi = {10.1080/15230406.2013.809233}, journal = {Cartography and Geographic Information Science}, keywords = {continuous, multi-representation, scale, scalemaster}, month = jun, number = {3}, pages = {192--200}, publisher = {Taylor \& Francis}, title = {{ScaleMaster} 2.0: a {ScaleMaster} extension to monitor automatic multi-scales generalizations}, url = {http://dx.doi.org/10.1080/15230406.2013.809233}, volume = {40}, year = {2013} }