Generalisation of Geographic Information. Cartographic Modelling and Applications. International Cartographic Association

Table of Contents

Preface. 1. Understanding Geographic Space (W.A. Mackaness). 2. Conceptual Models of Generalisation and Multiple Representation (L.T. Sarjakoski). 3. A Synoptic View of Generalisation Operators (N. Regnauld, R.B. McMaster). 4. Modelling the Overall Process of Generalisation (L. Harrie, R.Weibel). 5. Evaluation in the Map Generalisation Process (W.A. Mackaness, A. Ruas). 6. Databases Requirements for Generalisation and Multiple Representations (S. Mustière, J. van Smaalen). 7. A Real-Time Generalisation and Map Adaptation Approach for Location-Based Services (T. Sarjokoski , L.T. Sarjokoski). 8. Experiments in building an open generalisation system (A. Edwardes, D. Burghardt, M. Neun). 9. A data warehouse strategy for on-demand multiscale mapping (E. Bernier, Y. Bédard). 10. Relevance of Generalisation to the Extraction and Communication of Wayfinding Information (M. Sester, B. Elias). 11. 3D Building Generalisation (L. Meng, A. Forberg). 12. Characterising space via pattern recognition techniques: Identifying patterns in road networks (F. Heinzle, K-H. Anders). 13. Generalisation of Geographical Networks (R. Thomson, R. Brooks). 14. A Prototype of Generalisation based on the Multi-Agent System Paradigm (A. Ruas, C. Duchêne). 15. Managing Generalisation Updates in IGN Map Production (F. Lecordix, C. Lemarié). 16. Automated generalisation in a map production environment the KMS Experience (P. West-Nielsen, M. Meyer). 17. Observations and Research Challenges in Map Generalisation and Multiple Representation (W.A. Mackaness, A. Ruas, L.T. Sarjakoski).

Authors

William A. Mackaness University of Edinburgh, Scotland, U.K.. Anne Ruas IGN Laboratoire COGIT, St. Mande, France. L. Tiina Sarjakoski Finnish Geodetic Institute, Masala, Finland.