Chapman and Hall/CRC
148 pages | 29 B/W Illus.
Spatial data are collected in various ways, for example, weather maps, soil samples, incident patterns, microscopical slices, satellite, radar, or X-ray images. The statistical analysis of spatial data is treated as a separate topic, as it is different from classical statistical data in a number of ways. This book presents a concise introduction to the theory underlying the analysis of the main types of spatial data. It includes examples to illustrate the topics, including R code for their implementation, as well as exercises to support course teaching and self-study.
Random field modelling and interpolation
Models and inference for areal unit data
Spatial point processes
Appendix: Solutions to theoretical exercises