Spatial Statistics
Brian D. Ripley - Collection Wiley-Interscience
Résumé
Presents the first comprehensive guide to the analysis of spatial data. Each chapter covers a particular data format and the associated class of problems, introducing theory, giving computational suggestions, and providing examples. Methods are illustrated by computer-drawn figures. Serves as an introduction to this rapidly growing research area for mathematicians and statisticians, and as a reference to new computer methods for research workers in ecology, geology, archeology, and the earth sciences.
L'auteur - Brian D. Ripley
Professor B.D. Ripley holds the Chair of Applied Statistics at the University of Oxford, and is the author of four other books on spatial statistics, simulation, pattern recognition, and neural networks. Both authors are known and respected throughout the international S and R communities, for their books, workshops, short courses, and freely available software, and through their extensive contributions to the S-news and R mailing lists.
Sommaire
- Introduction
- Basic Stochastic Processes
- Spatial Sampling
- Smoothing and Interpolation
- Regional and Lattice Data
- Quadrat Counts
- Field Methods for Point Patterns
- Mapped Point Patterns
- Image Analysis and Stereology
- Bibliography
- Author Index
- Subject Index
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Wiley |
Auteur(s) | Brian D. Ripley |
Collection | Wiley-Interscience |
Parution | 16/11/2004 |
Nb. de pages | 252 |
Format | 15 x 23 |
Couverture | Broché |
Poids | 347g |
Intérieur | Noir et Blanc |
EAN13 | 9780471691167 |
ISBN13 | 978-0-471-69116-7 |
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