Case Studies in Spatial Point Process Modeling (original) (raw)

Overview

Editors:

• Pablo Gregori1,
• Jorge Mateu2,
• Radu Stoica3,
• …
• Dietrich Stoyan4

1. Adrian Baddeley
   1. Department of Mathematics, University of Western Australia, Nedlands, Australia
2. Pablo Gregori
   1. Department of Mathematics, Universitat Jaume 1 of Castellon, Castellon, Spain
3. Jorge Mateu
   1. Department of Mathematics, Universitat Jaume 1 of Castellon, Castellon, Spain
4. Radu Stoica
   1. INRA - Biometrie, Domaine St. Paul, Avignon, Cedex 9, France
5. Dietrich Stoyan
   1. Institut für Stochastik, TU Bergakademie Freiberg, Freiberg, Germany

• Focuses on case studies, rather than methodological aspects of point process modelling

• Includes supplementary material: sn.pub/extras

• 41k Accesses

• 188 Citations

• 3 Altmetric

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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

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Keywords

Table of contents (16 chapters)

1. Basic Notions and Manipulation of Spatial Point Processes

2. Theoretical and Methodological Advances in Spatial Point Processes

3. Practical Applications of Spatial Point Processes

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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

Editors and Affiliations

• Department of Mathematics, University of Western Australia, Nedlands, Australia

Adrian Baddeley

• Department of Mathematics, Universitat Jaume 1 of Castellon, Castellon, Spain

Pablo Gregori, Jorge Mateu

• INRA - Biometrie, Domaine St. Paul, Avignon, Cedex 9, France

Radu Stoica

• 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

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