Table of contents

  1. Front Matter
    Pages i-xv
  2. William Mackaness, Dirk Burghardt, Cécile Duchêne
    Pages 1-15
  3. Sandrine Balley, Blanca Baella, Sidonie Christophe, Maria Pla, Nicolas Regnauld, Jantien Stoter
    Pages 17-52
  4. Guillaume Touya, Bénédicte Bucher, Gilles Falquet, Kusay Jaara, Stefan Steiniger
    Pages 53-82
  5. Peter van Oosterom, Martijn Meijers, Jantien Stoter, Radan Šuba
    Pages 83-117
  6. Monika Sester, Jamal Jokar Arsanjani, Ralf Klammer, Dirk Burghardt, Jan-Henrik Haunert
    Pages 119-155
  7. Lawrence V. Stanislawski, Barbara P. Buttenfield, Pia Bereuter, Sandro Savino, Cynthia A. Brewer
    Pages 157-195
  8. Nicolas Regnauld, Guillaume Touya, Nicholas Gould, Theodor Foerster
    Pages 197-225
  9. Eric Guilbert, Julien Gaffuri, Bernhard Jenny
    Pages 227-258
  10. Jantien Stoter, Xiang Zhang, Hanna Stigmar, Lars Harrie
    Pages 259-297
  11. William Mackaness, Andreas Reimer
    Pages 299-328
  12. Cécile Duchêne, Blanca Baella, Cynthia A. Brewer, Dirk Burghardt, Barbara P. Buttenfield, Julien Gaffuri et al.
    Pages 329-391
  13. Dirk Burghardt, Cécile Duchêne, William Mackaness
    Pages 393-403
  14. Back Matter
    Pages 405-407

About this book


Research in the field of automated generalisation has faced new challenges in recent years as a result of technological developments in web-based processing, new visualisation paradigms and access to very large volumes of multi-source data generated by sensors and humans. In these contexts, map generalisation needs to underpin ‘on-demand mapping’, a form of mapping that responds to individual user requirements in the thematic selection and visualisation of geographic information. It is this new impetus that drives the research of the ICA Commission on Generalisation and Multiple Representation (for example through its annual workshops, biannual tutorials and publications in international journals). This book has a coherent structure, each chapter focusing on core concepts and tasks in the map generalisation towards on-demand mapping. Each chapter presents a state-of-the-art review, together with case studies that illustrate the application of pertinent generalisation methodologies. The book addresses issues from data gathering to multi scaled outputs. Thus there are chapters devoted to defining user requirements in handling specifications, and in the application and evaluation of map generalisation algorithms. It explores the application of generalisation methodologies in the context of growing volumes of data and the increasing popularity of user generated content.


Automated Generalisation Data Integration Generalisation Web Services Multiple Representation On-demand Mapping

Editors and affiliations

  • Dirk Burghardt
    • 1
  • Cécile Duchêne
    • 2
  • William Mackaness
    • 3
  1. 1.Department of GeosciencesInstitute of CartographyDresdenGermany
  2. 2.IGN COGIT laboratorySaint-MandeFrance
  3. 3.Geographical Information ScienceSchool of GeoSciencesEdinburghUnited Kingdom

Bibliographic information