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
AUTOMATED GENERALISATION WITHIN NMAs IN 2016
Jantien Stoter1,2, Vincent van Altena1, Marc Post1, Dirk Burghardt3, and Cecile Duchêne4 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.
Conference paper (PDF, 1057 KB)


Citation: Stoter, J., van Altena, V., Post, M., Burghardt, D., and Duchêne, C.: AUTOMATED GENERALISATION WITHIN NMAs IN 2016, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 647-652, https://doi.org/10.5194/isprs-archives-XLI-B4-647-2016, 2016.

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