Footnote:
Includes bibliographical references (pages 493-513) and indexes
Description:
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 o
Statistical Analysis and Modelling of Spatial Point Patterns; Contents; Preface; List of examples; 1 Introduction; 2 The homogeneous Poisson point process; 3 Finite point processes; 4 Stationary point processes; 5 Stationary marked point processes; 6 Modelling and simulation of stationary point processes; 7 Fitting and testing point process models; Appendix A Fundamentals of statistics; Appendix B Geometrical characteristics of sets; Appendix C Fundamentals of geostatistics; References; Notation index; Author index; Subject index.