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Spatial Similarity Relations in Multi-scale Map Spaces

Previously published in hardcover
BuchKartoniert, Paperback
188 Seiten
Englisch
Springererschienen am22.09.2016Softcover reprint of the original 1st ed. 2015
This book aims at the theory of spatial similarity relations and its application in automated map generalization, including the definitions, classification and features of spatial similarity relations.mehr
Verfügbare Formate
BuchGebunden
EUR106,99
BuchKartoniert, Paperback
EUR106,99
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextThis book aims at the theory of spatial similarity relations and its application in automated map generalization, including the definitions, classification and features of spatial similarity relations.
Details
ISBN/GTIN978-3-319-38326-2
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2016
Erscheinungsdatum22.09.2016
AuflageSoftcover reprint of the original 1st ed. 2015
Seiten188 Seiten
SpracheEnglisch
Gewicht324 g
IllustrationenXVIII, 188 p. 119 illus., 40 illus. in color.
Artikel-Nr.15665277

Inhalt/Kritik

Inhaltsverzeichnis
Preface.- Introduction.- Literature Review and Analysis.- Concepts of Spatial Similarity Relations in Multi-scale Map Spaces.- Models for Calculating Spatial Similarity Degrees in Multi-scale Map Spaces.- Model Validations.- Applications of Spatial Similarity Relations in Map Generalization.- Conclusions.- Appendix.mehr

Schlagworte

Autor

Dr. Haowen Yan obtained his Bachelor's, Master's, and Doctor's degrees in Cartography and Geographic Information Engineering from Wuhan University, China. He has worked at the Hong Kong Polytechnic University as a research assistant, at the University of Zurich as a senior researcher, and at the University of Waterloo as a research fellow. He is currently a visiting professor at the University of Waterloo and professor of Geomatics in the Lanzhou Jiaotong University, China.

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.