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Lecture Notes in Statistics

Case Studies in Spatial Point Process Modeling

Editors: Baddeley, A., Gregori, P., Mateu, J., Stoica, R., Stoyan, D. (Eds.)

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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.

Adrian Baddeley is Professor of Statistics at the University of Western Australia (Perth, Australia) and a Fellow of the Australian Academy of Science. His main research interests are in stochastic geometry, stereology, spatial statistics, image analysis and statistical software.

Pablo Gregori is senior lecturer of Statistics and Probability at the Department of Mathematics, University Jaume I of Castellon. His research fields of interest are spatial statistics, mainly on spatial point processes, and measure theory of functional analysis.

Jorge Mateu is Assistant Professor of Statistics and Probability at the Department of Mathematics, University Jaume I of Castellon and a Fellow of the Spanish Statistical Society and of Wessex Institute of Great Britain. His main research interests are in stochastic geometry and spatial statistics, mainly spatial point processes and geostatistics.

Radu Stoica obtained his Ph.D. in 2001 from the University of Nice Sophia Anitpolis. He works within the biometry group at INRA Avignon. His research interests are related to the study and the simulation of point processes applied to pattern modeling and recognition. The aimed application domains are image processing, astronomy and environmental sciences.

Dietrich Stoyan is Professor of Applied Stochastics at TU Bergakademie Freiberg, Germany. Since the end of the 1970s he has worked in the fields of stochastic geometry and spatial statistics.

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

Table of contents (16 chapters)

Table of contents (16 chapters)
  • Fundamentals of Point Process Statistics

    Pages 3-22

    Stoyan, Dietrich

  • Modelling Spatial Point Patterns in R

    Pages 23-74

    Baddeley, Adrian (et al.)

  • Strong Markov Property of Poisson Processes and Slivnyak Formula

    Pages 77-84

    Zuyev, Sergei

  • Bayesian Analysis of Markov Point Processes

    Pages 85-97

    Berthelsen, Kasper K. (et al.)

  • Statistics for Locally Scaled Point Processes

    Pages 99-123

    Prokešová, Michaela (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-0-387-31144-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.99
price for USA in USD
  • ISBN 978-0-387-28311-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

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
Series Volume
185
Copyright
2006
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-31144-9
DOI
10.1007/0-387-31144-0
Softcover ISBN
978-0-387-28311-1
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XVIII, 310
Topics