Author Description

The locations of trees in a forest, new cases of a disease, or gold deposits mapped in a geological survey are all examples of a spatial point pattern—a dataset that provides the observed spatial locations of things or events. Spatial Point Patterns: Methodology and Applications with R describes the modern statistical methodology and software used for analyzing spatial point patterns. The book provides clear explanations and practical advice on powerful statistical methodology. Online supplementary code makes it easy for readers to begin analyzing their own data.