Case Studies in Spatial Point Process Modeling | ISBN 9780387311449

Case Studies in Spatial Point Process Modeling

herausgegeben von Adrian Baddeley, Pablo Gregori, Jorge Mateu Mahiques, Radu Stoica und Dietrich Stoyan
Mitwirkende
Herausgegeben vonAdrian Baddeley
Herausgegeben vonPablo Gregori
Herausgegeben vonJorge Mateu Mahiques
Herausgegeben vonRadu Stoica
Herausgegeben vonDietrich Stoyan
Buchcover Case Studies in Spatial Point Process Modeling  | EAN 9780387311449 | ISBN 0-387-31144-0 | ISBN 978-0-387-31144-9
Leseprobe
„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

Case Studies in Spatial Point Process Modeling

herausgegeben von Adrian Baddeley, Pablo Gregori, Jorge Mateu Mahiques, Radu Stoica und Dietrich Stoyan
Mitwirkende
Herausgegeben vonAdrian Baddeley
Herausgegeben vonPablo Gregori
Herausgegeben vonJorge Mateu Mahiques
Herausgegeben vonRadu Stoica
Herausgegeben vonDietrich Stoyan

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