Spatial tessellations : concepts and applications of Voronoi diagrams /
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...
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| Format: | eBook |
| Language: | English |
| Published: |
Chichester ; New York :
Wiley,
©2000.
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| Edition: | 2nd ed. |
| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
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| 100 | 1 | |a Okabe, Atsuyuki, |d 1945- | |
| 245 | 1 | 0 | |a Spatial tessellations : |b concepts and applications of Voronoi diagrams / |c Atsuyuki Okabe [and others] ; with a foreword by D.G. Kendall. |
| 250 | |a 2nd ed. | ||
| 260 | |a Chichester ; |a New York : |b Wiley, |c ©2000. | ||
| 300 | |a 1 online resource (xii, 671 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Wiley series in probability and statistics | |
| 504 | |a Includes bibliographical references (pages 585-655) and index. | ||
| 505 | 0 | |a Spatial Tessellations: Concepts and Applications of Voronoi Diagrams; Contents; Foreword to the First Edition; Preface to the Second Edition; Acknowledgements (First Edition); Acknowledgements (Second Edition); Chapter 1 Introduction; Chapter 2 Definitions and Basic Properties of Voronoi Diagrams; Chapter 3 Generalizations of the Voronoi diagram; Chapter 4 Algorithms for Computing Voronoi Diagrams; Chapter 5 Poisson Voronoi Diagram; Chapter 6 Spatial tnterpolation; Chapter 7 Models of Spatial Processes; Chapter 8 Point Pattern Analysis. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 546 | |a English. | ||
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| 650 | 0 | |a Voronoi polygons. | |
| 650 | 0 | |a Spatial analysis (Statistics) | |
| 650 | 0 | |a Geometry |x Data processing. | |
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