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Case Studies in Spatial Point Process Modeling

  • Adrian Baddeley
  • Pablo Gregori
  • Jorge Mateu
  • Radu Stoica
  • Dietrich Stoyan

Part of the Lecture Notes in Statistics book series (LNS, volume 185)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Basic Notions and Manipulation of Spatial Point Processes

    1. Front Matter
      Pages 1-1
    2. Dietrich Stoyan
      Pages 3-22
    3. Adrian Baddeley, Rolf Turner
      Pages 23-74
  3. Theoretical and Methodological Advances in Spatial Point Processes

    1. Front Matter
      Pages 75-75
    2. Kasper K. Berthelsen, Jesper Møller
      Pages 85-97
    3. Michaela Prokešová, Ute Hahn, Eva B. Vedel Jensen
      Pages 99-123
    4. Zbyněk Pawlas, Lothar Heinrich
      Pages 125-133
  4. Practical Applications of Spatial Point Processes

    1. Front Matter
      Pages 151-151
    2. Miguel A. Martínez-Beneito, Juan J. Abellán, Antonio López-Quílez, Hermelinda Vanaclocha, Óscar Zurriaga, Guillermo Jorques et al.
      Pages 169-182
    3. Noel A.C. Cressie, Olivier Perrin, Christine Thomas-Agnan
      Pages 183-195
    4. Simon Webster, Peter J. Diggle, Helen E. Clough, Robert B. Green, Nigel P. French
      Pages 197-214
    5. Peter J. Diggle, Stephen J. Eglen, John B. Troy
      Pages 215-233
    6. Frank Fleischer, Michael Beil, Marian Kazda, Volker Schmidt
      Pages 235-260
    7. Jiancang Zhuang, Yosihiko Ogata, David Vere-Jones
      Pages 275-292

About this book

Introduction

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.

Keywords

Branching process Markov property Poisson process point process principal component analysis statistics

Editors and affiliations

  • Adrian Baddeley
    • 1
  • Pablo Gregori
    • 2
  • Jorge Mateu
    • 2
  • Radu Stoica
    • 3
  • Dietrich Stoyan
    • 4
  1. 1.Department of MathematicsUniversity of Western AustraliaNedlandsAustralia
  2. 2.Department of MathematicsUniversitat Jaume 1 of CastellonCastellonSpain
  3. 3.INRA - Biometrie, Domaine St. PaulAvignon, Cedex 9France
  4. 4.Institut für StochastikTU Bergakademie FreibergFreibergGermany

Bibliographic information

  • DOI https://doi.org/10.1007/0-387-31144-0
  • Copyright Information Springer Science+Business Media Inc. 2006
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-28311-1
  • Online ISBN 978-0-387-31144-9
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site
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