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

Book 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.

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

Review Quotes

"It adopts an extremely accessible style, allowing the non-statistician complete understanding, describes the process of extracting knowledge from the data, emphasizing marked point processes, demonstrates the analysis of complex data sets, using applied examples from areas including biology, forestry, and materials science, and features a supplementary website containing example datasets. This text is ideally suited for researchers in many areas of applications, including environmental statistics, ecology, physics, material science, geostatistics, and biology. It is also suitable for students of statistics, mathematics, computer science, biology and geoinformatics." (Zentralblatt Math, 2010)

"Statistical Analysis and Modelling of Spatial Point Patterns is an extremely well-written book and is accessible to a wide audience, including both applied statisticians and researchers from other fields with a reasonably sophisticated background in statics." (Journal of the American Statistical Association, September 2010)"The book presents statistical methods that are relevant in practice, focusing on traditional methods, in particular those based on summary statistics, but also more recent models and methods are briefly discussed. "(Biometrics, September 2009)

"The book is a useful addition to Wiley's series Statistics in Practice." (Journal of Tropical Pediatrics, February 2009)

"The abstract flavor this brings to the subject means that methods may have very wide applicability over different application domains. This applicability, in turn, is reflected by the large number of interesting examples described in the book. The book provides a comprehensive overview of the area." (International Statistical Review, December 2008)

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.