Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice) - Hardcover

Illian, Janine; Penttinen, Antti; Stoyan, Helga; Stoyan, Dietrich

 
9780470014912: Statistical Analysis and Modelling of Spatial Point Patterns (Statistics in Practice)
Hardcover
ISBN 10: 0470014911 ISBN 13: 9780470014912
Publisher: Wiley-Interscience, 2008

Synopsis

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material.

Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience.

The book:

  • Provides an introduction to spatial point patterns for researchers across numerous areas of application
  • Adopts an extremely accessible style, allowing the non-statistician complete understanding
  • Describes the process of extracting knowledge from the data, emphasising the marked point process
  • Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science
  • Features a supplementary website containing example datasets.

Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.

"synopsis" may belong to another edition of this title.

About the Author

Janine Illian, SIMBIOS, University of Abertay, Dundee, Scotland.

Antti Pentinen, Professor in the Department of Mathematics and Statistics, University of Jyvaskyla, Finland.

Dietrich Stoyan, Professor a the Insitut für Stochastik, University of Freiberg, Germany.

From the Back Cover

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material.

Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience.

The book:

  • Provides an introduction to spatial point patterns for researchers across numerous areas of application.
  • Adopts an extremely accessible style, allowing the non-statistician complete understanding.
  • Describes the process of extracting knowledge from the data, emphasising the marked point process.
  • Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science.
  • Features a supplementary website containing example datasets.

Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.

Companion website:

www.wiley.com/go/penttinen     

From the Inside Flap

Spatial point processes are mathematical models used to describe and analyse the geometrical structure of patterns formed by objects that are irregularly or randomly distributed in one-, two- or three-dimensional space. Examples include locations of trees in a forest, blood particles on a glass plate, galaxies in the universe, and particle centres in samples of material.

Numerous aspects of the nature of a specific spatial point pattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patterns provides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits of this increasingly popular branch of statistics to a broad audience.

The book:

  • Provides an introduction to spatial point patterns for researchers across numerous areas of application.
  • Adopts an extremely accessible style, allowing the non-statistician complete understanding.
  • Describes the process of extracting knowledge from the data, emphasising the marked point process.
  • Demonstrates the analysis of complex datasets, using applied examples from areas including biology, forestry, and materials science.
  • Features a supplementary website containing example datasets.

Statistical Analysis and Modelling of Spatial Point Patterns is ideally suited for researchers in the many areas of application, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics.

Companion website:

www.wiley.com/go/penttinen     

"About this title" may belong to another edition of this title.

Publisher
Wiley-Interscience
Publication date
2008
Language
English
ISBN 10 
0470014911
ISBN 13 
9780470014912
Binding
Hardcover
Edition number
1
Number of pages
560