Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 647-652, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 647-652, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-647-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  14 Jun 2016

14 Jun 2016

AUTOMATED GENERALISATION WITHIN NMAs IN 2016

Jantien Stoter1,2, Vincent van Altena1, Marc Post1, Dirk Burghardt3, and Cecile Duchêne4 Jantien Stoter et al.
  • 1Kadaster, The Netherlands,
  • 2Delft University of Technology, the Netherlands
  • 3University of Dresden, Germany
  • 4IGN, France

Keywords: Map Generalisation, Cartography, Scale, Multiple Resolution Databases, Automated Generalisation

Abstract. Producing maps and geo-data at different scales is traditionally one of the main tasks of National (and regional) Mapping Agencies (NMAs). The derivation of low-scale maps (i.e. with less detail) from large-scale maps (with more detail), i.e. generalisation, used to be a manual task of cartographers. With the need for more up-to-date data as well as the development of automated generalisation solutions in both research and industry, NMAs are implementing automated generalisation production lines. To exchange experiences and identify remaining issues, a workshop was organised end 2015 by the Commission on Generalisation and Multirepresentation of the International Cartographic Association and the Commission on Modelling and Processing of the European Spatial Data Research. This paper reports about the workshop outcomes. It shows that, most NMAs have implemented a certain form of automation in their workflows, varying from generalisation of certain features while still maintaining a manual workflow; semiautomated editing and generalisation to a fully automated procedure.