Overview
- Editors:
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Dirk Burghardt
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Department of Geosciences, Institute of Cartography, Dresden, Germany
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Cécile Duchêne
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IGN COGIT laboratory, Saint-Mande, France
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William Mackaness
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Geographical Information Science, School of GeoSciences, Edinburgh, United Kingdom
- Delivers an extensive compendium of current research and development work in the field of automated generalisation
- Employs a sequence of core chapters to match the different phases of the teneralisation process
- Offers a chapter on the practical usage of automated generalisation with commercial production systems and open-source systems
- Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
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- William Mackaness, Dirk Burghardt, Cécile Duchêne
Pages 1-15
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- Sandrine Balley, Blanca Baella, Sidonie Christophe, Maria Pla, Nicolas Regnauld, Jantien Stoter
Pages 17-52
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- Guillaume Touya, Bénédicte Bucher, Gilles Falquet, Kusay Jaara, Stefan Steiniger
Pages 53-82
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- Peter van Oosterom, Martijn Meijers, Jantien Stoter, Radan Šuba
Pages 83-117
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- Monika Sester, Jamal Jokar Arsanjani, Ralf Klammer, Dirk Burghardt, Jan-Henrik Haunert
Pages 119-155
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- Lawrence V. Stanislawski, Barbara P. Buttenfield, Pia Bereuter, Sandro Savino, Cynthia A. Brewer
Pages 157-195
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- Nicolas Regnauld, Guillaume Touya, Nicholas Gould, Theodor Foerster
Pages 197-225
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- Eric Guilbert, Julien Gaffuri, Bernhard Jenny
Pages 227-258
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- Jantien Stoter, Xiang Zhang, Hanna Stigmar, Lars Harrie
Pages 259-297
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- William Mackaness, Andreas Reimer
Pages 299-328
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- Cécile Duchêne, Blanca Baella, Cynthia A. Brewer, Dirk Burghardt, Barbara P. Buttenfield, Julien Gaffuri et al.
Pages 329-391
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- Dirk Burghardt, Cécile Duchêne, William Mackaness
Pages 393-403
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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. Thebook 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.
Reviews
“This book provides a really critical contribution to summarizing, conceptualizing, and discussing the main problems and solutions in map generalization to date. … I recommend this book to everyone who works with map generalization and wants to be productive in solving his or her tasks, as well as those who are interested in understanding short- and mid-term perspectives in map generalization developments.” (Timofey Samsonov, Cartographic Perspectives, Issues 80, 2015)
Editors and Affiliations
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Department of Geosciences, Institute of Cartography, Dresden, Germany
Dirk Burghardt
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IGN COGIT laboratory, Saint-Mande, France
Cécile Duchêne
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Geographical Information Science, School of GeoSciences, Edinburgh, United Kingdom
William Mackaness
