Authors:
- Introduces researchers to map construction algorithms
- Provides the reader with a simple means to experiment with map construction software
- Offers a companion website that will be continuously updated with new research results
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
To quantify map construction algorithms, the authors include specific datasets and evaluation measures. The datasets, source code of map construction algorithms and evaluation measures are publicly available on http://www.mapconstruction.org. The web site serves as a repository for map construction data and algorithms and researchers can contribute by uploading their own code and benchmark data.
Map Construction Algorithms is an excellent resource for professionals working in computational geometry, spatial databases, and GIS. Advanced-level students studying computer science, geography and mathematics will also find this book a useful tool.
Reviews
“This book gives a state-of-the-art survey on constructing road maps from data acquired by tracking vehicles. … The book is very nicely written. It is the only survey on map construction algorithms I am aware of and, thus, it is of high value to both practitioners and to students and researchers who are interested in this field.” (Rolf Klein, zbMATH 1344.68002, 2016)
Authors and Affiliations
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Department of Computer Science, University of Texas at San Antonio, San Antonio, USA
Mahmuda Ahmed
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School of Rural and Surveying Engineerin, National Technical University of At, Zografou, Greece
Sophia Karagiorgou
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Fairfax, USA
Dieter Pfoser
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Tulane University, NEW ORLEANS, USA
Carola Wenk
Bibliographic Information
Book Title: Map Construction Algorithms
Authors: Mahmuda Ahmed, Sophia Karagiorgou, Dieter Pfoser, Carola Wenk
DOI: https://doi.org/10.1007/978-3-319-25166-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-25164-6Published: 29 December 2015
Softcover ISBN: 978-3-319-79743-4Published: 14 March 2019
eBook ISBN: 978-3-319-25166-0Published: 17 December 2015
Edition Number: 1
Number of Pages: XIII, 120
Number of Illustrations: 29 b/w illustrations, 31 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Geometry, Geographical Information Systems/Cartography, Landscape/Regional and Urban Planning