ScaleMaster 2.0: a ScaleMaster extension to monitor automatic multi-scales generalizations

Guillaume Touya · Jean‐François Girres

26 citations0/0 files storedCartography and Geographic Information Science

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Geographic Information Systems Studies Historical Geography and Cartography 3D Modeling in Geospatial Applications

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.

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References

2005Optimization approaches for generalization and data abstraction 2005Variable-scale Topological Data Structures Suitable for Progressive Data Transfer: The GAP-face Tree and GAP-edge Forest 2007Modelling the Overall Process of Generalisation 2007Framing Guidelines for Multi-Scale Map Design Using Databases at Multiple Resolutions 2001Integrating multi agent, object oriented and algorithmic techniques for improved automoated map generalisation 2002Simultaneous Graphic Generalization of Vector Data Sets 2011A typology of operators for maintaining legible map designs at multiple scales 2002Proceedings of Giscience 2002

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