Conclusion: Major Achievements and Research Challenges in Generalisation

  • Dirk BurghardtEmail author
  • Cécile Duchêne
  • William Mackaness
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)


The core ambitions of map generalisation remain the same-as do a set of inter connected research activities concerned with algorithm developments, user requirements modelling, evaluation methodologies, and the handling and integration of multi scale, global datasets. Technology continues to afford new paradigms of data capture and use, in turn requiring generalisation techniques that are capable of working with a wider variety of data sources (including user generated content), and web friendly mapping services that conceal the complexities of the map design process from the lay user. This summarative chapter highlights yet again, the truly inter disciplinary nature of map generalisation research.


Augmented Reality User Requirement Generalisation Process Generalisation Technique Automate Derivation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are grateful to their colleagues from the COGIT Laboratory of IGN, the Dresden University of Technology and the University of Edinburgh for the discussions around the future research challenges in generalisation that indubitably made this chapter all the richer!


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Dirk Burghardt
    • 1
    Email author
  • Cécile Duchêne
    • 2
  • William Mackaness
    • 3
  1. 1.Dresden University of TechnologyDresdenGermany
  2. 2.Laboratoire COGITIGNParisFrance
  3. 3.School of GeoSciencesThe University of EdinburghEdinburghUK

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