Statistical Analysis and Modelling of Spatial Point Patterns

by Janine Illian, Antti Penttinen, Helga Stoyan

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 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.

560 pages, Hardcover

First published January 1, 2008

Reviews

[Bill W · Rating 3 out of 5]

Nice introduction! This textbook is very accessible and readable. My only real disappointment is that the book does not discuss Fourier methods at all. Maybe in the next edition?