Editors:
- Focuses on case studies, rather than methodological aspects of point process modelling
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 185)
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Table of contents (16 chapters)
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Front Matter
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Basic Notions and Manipulation of Spatial Point Processes
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Front Matter
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Theoretical and Methodological Advances in Spatial Point Processes
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Front Matter
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Practical Applications of Spatial Point Processes
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Front Matter
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About this book
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
Reviews
Editors and Affiliations
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Department of Mathematics, University of Western Australia, Nedlands, Australia
Adrian Baddeley
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Department of Mathematics, Universitat Jaume 1 of Castellon, Castellon, Spain
Pablo Gregori, Jorge Mateu
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INRA - Biometrie, Domaine St. Paul, Avignon, Cedex 9, France
Radu Stoica
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Institut für Stochastik, TU Bergakademie Freiberg, Freiberg, Germany
Dietrich Stoyan
Bibliographic Information
Book Title: Case Studies in Spatial Point Process Modeling
Editors: Adrian Baddeley, Pablo Gregori, Jorge Mateu, Radu Stoica, Dietrich Stoyan
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/0-387-31144-0
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2006
Softcover ISBN: 978-0-387-28311-1Published: 21 November 2005
eBook ISBN: 978-0-387-31144-9Published: 03 March 2006
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XVIII, 310
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes, Earth Sciences, general