Spatial Tessellations Concepts and Applications of Voronoi Diagrams
Aus der Reihe
Wiley Series in Probability and Statistics
192,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
25.09.2009
Verlag
Wiley-BlackwellSeitenzahl
696 (Printausgabe)
Dateigröße
39663 KB
Auflage
2. Auflage
Sprache
Englisch
EAN
9780470317853
Spatial data analysis is a fast growing area and Voronoi diagrams provide a means of naturally partitioning space into subregions to facilitate spatial data manipulation, modelling of spatial structures, pattern recognition and locational optimization. With such versatility, the Voronoi diagram and its relative, the Delaunay triangulation, provide valuable tools for the analysis of spatial data. This is a rapidly growing research area and in this fully updated second edition the authors provide an up-to-date and comprehensive unification of all the previous literature on the subject of Voronoi diagrams.
Features:
* Expands on the highly acclaimed first edition
* Provides an up-to-date and comprehensive survey of the existing literature on Voronoi diagrams
* Includes a useful compendium of applications
* Contains an extensive bibliography
A wide range of applications is discussed, enabling this book to serve as an important reference volume on this topic. The text will appeal to students and researchers studying spatial data in a number of areas, in particular, applied probability, computational geometry, and Geographic Information Science (GIS). This book will appeal equally to those whose interests in Voronoi diagrams are theoretical, practical or both.
Features:
* Expands on the highly acclaimed first edition
* Provides an up-to-date and comprehensive survey of the existing literature on Voronoi diagrams
* Includes a useful compendium of applications
* Contains an extensive bibliography
A wide range of applications is discussed, enabling this book to serve as an important reference volume on this topic. The text will appeal to students and researchers studying spatial data in a number of areas, in particular, applied probability, computational geometry, and Geographic Information Science (GIS). This book will appeal equally to those whose interests in Voronoi diagrams are theoretical, practical or both.
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