Abstract
National Mapping Agencies (NMAs) are still among the main end users of research into automated generalisation, which is transferred into their production lines via various means. This chapter includes contributions from seven NMAs, illustrating how automated generalisation is used in practice within their partly or fully automated databases and maps production lines, what results are currently being obtained and what further developments are on-going or planned. A contribution by the European Joint Research Center reports on the use of multiple representation and generalisation in the context of the implementation of the European INSPIRE directive. The chapter finishes with a synthesis of recent achievements, as well as future challenges that NMAs have begun to tackle.
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Notes
- 1.
This acronym is a misnomer since some of them are national while others, within federal countries, can be regional. However, it is widely used in the ICA Community, therefore our choice to use it in this chapter.
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Acknowledgments
The authors would like to thank all participants of the NMAs symposium “Designing MRDB and multi-scale DCMs: sharing experience between government mapping agencies” held in Barcelona on 21–22 March 2013 for the rich exchanges they enabled regarding current practices of generalisation and future challenges for NMAs. They represented the NMAs contributing to Sects. 11.2–11.8 of this chapter, as well as: IGN-Belgium, GST-Denmark (former KMS), NLS-Finland, OSI-Ireland, IGN-Spain.
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Duchêne, C. et al. (2014). Generalisation in Practice Within National Mapping Agencies. In: Burghardt, D., Duchêne, C., Mackaness, W. (eds) Abstracting Geographic Information in a Data Rich World. Lecture Notes in Geoinformation and Cartography(). Springer, Cham. https://doi.org/10.1007/978-3-319-00203-3_11
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