Résumé :
|
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.
|