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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.
1. Introduction. 2. Basic Stochastic Processes. 3. Spatial Sampling. 4. Smoothing and Interpolation. 5. Regional and Lattice Data. 6. Quadrat Counts. 7. Field Methods for Point Patterns. 8. Mapped Point Patterns. 9. Image Analysis and Stereology. Bibliography. Author Index. Subject Index.
Brian D. Ripley PhD, is Professor of Applied Statistics at Oxford University. He is a Fellow of the Institute of Mathematical Statistics and the Royal Society of Edinburgh and is also a member of the International Statistical Institute.
