Chapter 11 Generalisation in Practice Within National Mapping Agencies Cécile Duchêne, Blanca Baella, Cynthia A. Brewer, Dirk Burghardt, Barbara P. Buttenfield, Julien Gaffuri, Dominik Käuferle, François Lecordix, Emmanuel Maugeais, Ron Nijhuis, Maria Pla, Marc Post, Nicolas Regnauld, Lawrence V. Stanislawski, Jantien Stoter, Katalin Tóth, Sabine Urbanke, Vincent van Altena and Antje Wiedemann C. Duchêne (&) Laboratoire COGIT, IGN, Saint-Mandé, France e-mail:
[email protected] B. Baella Á M. Pla Institut Cartogràfic de Catalunya, Barcelona, Catalonia, Spain e-mail:
[email protected] M. Pla e-mail:
[email protected] C. A. Brewer Department of Geography, Pennsylvania State University, University Park, Pennsylvania, USA e-mail:
[email protected] D. Burghardt Dresden University of Technology, Dresden, Germany e-mail:
[email protected] B. P. Buttenfield Department of Geography, University of Colorado, Boulder, Colorado, USA e-mail:
[email protected] J. Gaffuri Á K. Tóth Institute for Environment and Sustainability, Joint Research Centre, European Commission, Ispra, Italy e-mail:
[email protected] D. Käuferle Federal Office of Topography swisstopo, Wabern, Switzerland e-mail:
[email protected] D. Burghardt et al. (eds.), Abstracting Geographic Information in a Data Rich World, 329 Lecture Notes in Geoinformation and Cartography, DOI: 10.1007/978-3-319-00203-3_11, Ó Springer International Publishing Switzerland 2014 330 C. Duchêne et al. Abstract National Mapping Agencies (NMAs) are still among the main end users of research into automated generalisation, which is transferred into their produc- tion 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.