Generalisation of Geographic Information: Cartographic Modelling and Applications

Author:   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)
Publisher:   Elsevier Science & Technology
ISBN:  

9780080453743


Pages:   386
Publication Date:   04 April 2007
Format:   Hardback
Availability:   Out of stock   Availability explained
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Generalisation of Geographic Information: Cartographic Modelling and Applications


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Overview

Theoretical and Applied Solutions in Multi Scale Mapping Users have come to expect instant access to up-to-date geographical information, with global coverage--presented at widely varying levels of detail, as digital and paper products; customisable data that can readily combined with other geographic information. These requirements present an immense challenge to those supporting the delivery of such services (National Mapping Agencies (NMA), Government Departments, and private business. Generalisation of Geographic Information: Cartographic Modelling and Applications provides detailed review of state of the art technologies associated with these challenges, including the most recent developments in cartometric analysis techniques able to support high levels of automation among multi scale derivation techniques. The book illustrates the application of these ideas within existing and emerging technologies. In addition to providing a comprehensive theoretical underpinning, the book demonstrates how theoretical developments have translated into commercial systems deployed within NMAs. The book explores relevance of open systems in support of collaborative research and open source web based map services.

Full Product Details

Author:   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)
Publisher:   Elsevier Science & Technology
Imprint:   Elsevier Science Ltd
Dimensions:   Width: 16.50cm , Height: 2.20cm , Length: 24.00cm
Weight:   0.870kg
ISBN:  

9780080453743


ISBN 10:   0080453740
Pages:   386
Publication Date:   04 April 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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).

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