Case Studies in Spatial Point Process Modeling

• Basic Notions and Manipulation of Spatial Point Processes.- Fundamentals of Point Process Statistics.- Modelling Spatial Point Patterns in R.- Theoretical and Methodological Advances in Spatial Point Processes.- Strong Markov Property of Poisson Processes and Slivnyak Formula.- Bayesian Analysis of Markov Point Processes.- Statistics for Locally Scaled Point Processes.- Nonparametric Testing of Distribution Functions in Germ-grain Models.- Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context.- Practical Applications of Spatial Point Processes.- On Modelling of Refractory Castables by Marked Gibbs and Gibbsian-like Processes.- Source Detection in an Outbreak of Legionnaire’s Disease.- Doctors’ Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation.- Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data.- Modelling the Bivariate Spatial Distribution of Amacrine Cells.- Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Data.- Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenya.- Diagnostic Analysis of Space-Time Branching Processes for Earthquakes.- Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes.

"For those interested in analyzing their spatial data, the wide variatey of examples and approaches here give a good idea of the possibilities and suggest reasonable paths to explore." Michael Sherman for the Journal of the American Statistical Association, December 2006