Case Studies in Spatial Point Process Modeling -

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Résumé :
Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal epidemiology, biology, and seismology. Its further application depends greatly on good software and instructive case studies that show the way to successful work. This book satisfies this need by a presentation of the spatstat package and many statistical examples. Researchers, spatial statisticians and scientists from biology, geosciences, materials sciences and other fields will use this book as a helpful guide to the application of point process statistics. No other book presents so many well-founded point process case studies. From the reviews: 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

Sommaire:
Spatial point processes are complex stochastic models that describe the locations of interesting events, and (possibly) some information about each event. This book is focused on case studies, rather than methodological aspects of point process modelling....