Spatial Point Patterns ─ Methodology and Applications With R

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.

Adrian Baddeley is a professor of computational statistics at Curtin University and a fellow of the Australian Academy of Science. He has been a leading researcher in spatial statistics for 40 years.

Ege Rubak is an associate professor in the world-renowned spatial statistics group at Aalborg University. His research focuses on spatial statistics and statistical computing.

Rolf Turner is retired and an Honorary Research Fellow at the University of Auckland, where he has taught a graduate course on spatial point processes in the Department of Statistics. He has considerable expertise in statistical computing and has worked as a statistician in the Division of Mathematics and Statistics at CSIRO, the University of New Brunswick, and the Starpath Project at the University of Auckland.