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„It adopts an extremely accessible style, allowing thenon-statistician complete understanding, describes the process ofextracting knowledge from the data, emphasizing marked pointprocesses, demonstrates the analysis of complex data sets, usingapplied examples from areas including biology, forestry, andmaterials science, and features a supplementary website containingexample datasets. This text is ideally suited for researchers inmany areas of applications, including environmental statistics, ecology, physics, material science, geostatistics, and biology. Itis also suitable for students of statistics, mathematics, computerscience, biology and geoinformatics.“ (Zentralblatt Math,2010)
„Statistical Analysis and Modelling of Spatial Point Patterns isan extremely well-written book and is accessible to a wideaudience, including both applied statisticians and researchers fromother fields with a reasonably sophisticated background instatics.“ (Journal of the American Statistical Association, September 2010)„The book presents statistical methods thatare relevant in practice, focusing on traditional methods, inparticular those based on summary statistics, but also more recentmodels and methods are briefly discussed. “(Biometrics, September 2009)
"The book is a useful addition to Wiley's series Statistics inPractice.„ (Journal of Tropical Pediatrics, February2009)
“The abstract flavor this brings to the subject means thatmethods may have very wide applicability over different applicationdomains. This applicability, in turn, is reflected by the largenumber of interesting examples described in the book. The bookprovides a comprehensive overview of the area." (InternationalStatistical Review, December 2008)
Statistical Analysis and Modelling of Spatial Point Patterns
von Janine Illian, Antti Penttinen, Helga Stoyan und Dietrich StoyanSpatial point processes are mathematical models used to describeand analyse the geometrical structure of patterns formed by objectsthat are irregularly or randomly distributed in one-, two- orthree-dimensional space. Examples include locations of trees in aforest, 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 pointpattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patternsprovides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits ofthis increasingly popular branch of statistics to a broadaudience.
The book:
* Provides an introduction to spatial point patterns forresearchers across numerous areas of application
* Adopts an extremely accessible style, allowing thenon-statistician complete understanding
* Describes the process of extracting knowledge from the data, emphasising the marked point process
* Demonstrates the analysis of complex datasets, using appliedexamples from areas including biology, forestry, and materialsscience
* Features a supplementary website containing exampledatasets.
Statistical Analysis and Modelling of Spatial PointPatterns is ideally suited for researchers in the many areas ofapplication, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitablefor students of statistics, mathematics, computer science, biologyand geoinformatics.
Numerous aspects of the nature of a specific spatial pointpattern may be described using the appropriate statistical methods. Statistical Analysis and Modelling of Spatial Point Patternsprovides a practical guide to the use of these specialised methods. The application-oriented approach helps demonstrate the benefits ofthis increasingly popular branch of statistics to a broadaudience.
The book:
* Provides an introduction to spatial point patterns forresearchers across numerous areas of application
* Adopts an extremely accessible style, allowing thenon-statistician complete understanding
* Describes the process of extracting knowledge from the data, emphasising the marked point process
* Demonstrates the analysis of complex datasets, using appliedexamples from areas including biology, forestry, and materialsscience
* Features a supplementary website containing exampledatasets.
Statistical Analysis and Modelling of Spatial PointPatterns is ideally suited for researchers in the many areas ofapplication, including environmental statistics, ecology, physics, materials science, geostatistics, and biology. It is also suitablefor students of statistics, mathematics, computer science, biologyand geoinformatics.