Skip to main content
SpringerLink
Log in

Case Studies in Spatial Point Process Modeling

  • Book
  • © 2006

Overview

Editors:
  1. Adrian Baddeley

    1. Department of Mathematics, University of Western Australia, Nedlands, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Pablo Gregori

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Jorge Mateu

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Radu Stoica

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Dietrich Stoyan

    1. Institut für Stochastik, TU Bergakademie Freiberg, Freiberg, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (16 chapters)

  1. Front Matter

    Pages I-XVII
    Download chapter PDF

  2. Basic Notions and Manipulation of Spatial Point Processes

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Fundamentals of Point Process Statistics

      • Dietrich Stoyan
      Pages 3-22

    3. Modelling Spatial Point Patterns in R

      • Adrian Baddeley, Rolf Turner
      Pages 23-74

  3. Theoretical and Methodological Advances in Spatial Point Processes

    1. Front Matter

      Pages 75-75
      Download chapter PDF

    2. Strong Markov Property of Poisson Processes and Slivnyak Formula

      • Sergei Zuyev
      Pages 77-84

    3. Bayesian Analysis of Markov Point Processes

      • Kasper K. Berthelsen, Jesper Møller
      Pages 85-97

    4. Statistics for Locally Scaled Point Processes

      • Michaela Prokešová, Ute Hahn, Eva B. Vedel Jensen
      Pages 99-123

    5. Nonparametric Testing of Distribution Functions in Germ-grain Models

      • Zbyněk Pawlas, Lothar Heinrich
      Pages 125-133

    6. Principal Component Analysis for Spatial Point Processes — Assessing the Appropriateness of the Approach in an Ecological Context

      • Janine Illian, Erica Benson, John Crawford, Harry Staines
      Pages 135-150

  4. Practical Applications of Spatial Point Processes

    1. Front Matter

      Pages 151-151
      Download chapter PDF

    2. On Modelling of Refractory Castables by Marked Gibbs and Gibbsian-like Processes

      • Felix Ballani
      Pages 153-167

    3. Source Detection in an Outbreak of Legionnaire’s Disease

      • Miguel A. Martínez-Beneito, Juan J. Abellán, Antonio López-Quílez, Hermelinda Vanaclocha, Óscar Zurriaga, Guillermo Jorques et al.
      Pages 169-182

    4. Doctors’ Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation

      • Noel A.C. Cressie, Olivier Perrin, Christine Thomas-Agnan
      Pages 183-195

    5. Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data

      • Simon Webster, Peter J. Diggle, Helen E. Clough, Robert B. Green, Nigel P. French
      Pages 197-214

    6. Modelling the Bivariate Spatial Distribution of Amacrine Cells

      • Peter J. Diggle, Stephen J. Eglen, John B. Troy
      Pages 215-233

    7. Analysis of Spatial Point Patterns in Microscopic and Macroscopic Biological Image Data

      • Frank Fleischer, Michael Beil, Marian Kazda, Volker Schmidt
      Pages 235-260

    8. Spatial Marked Point Patterns for Herd Dispersion in a Savanna Wildlife Herbivore Community in Kenya

      • Alfred Stein, Nick Georgiadis
      Pages 261-273

    9. Diagnostic Analysis of Space-Time Branching Processes for Earthquakes

      • Jiancang Zhuang, Yosihiko Ogata, David Vere-Jones
      Pages 275-292

    10. Assessing Spatial Point Process Models Using Weighted K-functions: Analysis of California Earthquakes

      • Alejandro Veen, Frederic Paik Schoenberg
      Pages 293-306
Back to top

Keywords

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

"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

Publish with us

Policies and ethics

Back to top

Search

Navigation