Overview
- This is the first book that defines similarity, spatial similarity and spatial similarity relation using mathematical language
- This is the first book that systematically addresses the features of spatial similarity relations
- This is the first book that can calculate spatial similarity between objects or between object groups using quantitative models
- This is the first book that systematically discusses spatial similarity relations in multi-scale map spaces
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Table of contents (7 chapters)
Keywords
About this book
Authors and Affiliations
About the authors
Jonathan Li is a professor at the Department of Geography and Environmental Management at the University of Waterloo. Dr. Li's research interests are mainly in the areas of remote sensing and geographic information science, including high-resolution satellite mapping, airborne and terrestrial mobile LIDAR mapping, earth observation of global change, remote sensing of inland and coastal waters, remote sensing of renewable energy potential, mapping of climate-induced hazards, Internet GIS and Web Mapping, Terrain Analysis in Hydrogeography, geospatial sensor network, and geospatial information technologies for emergency response and disaster management.
Bibliographic Information
Book Title: Spatial Similarity Relations in Multi-scale Map Spaces
Authors: Haowen Yan, Jonathan Li
DOI: https://doi.org/10.1007/978-3-319-09743-5
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-09742-8Published: 27 October 2014
Softcover ISBN: 978-3-319-38326-2Published: 22 September 2016
eBook ISBN: 978-3-319-09743-5Published: 10 October 2014
Edition Number: 1
Number of Pages: XVIII, 188
Number of Illustrations: 79 b/w illustrations, 40 illustrations in colour
Topics: Geographical Information Systems/Cartography, Applications of Mathematics, Computer Imaging, Vision, Pattern Recognition and Graphics