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4.7
106 reviewsNumerous 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:
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.Content:
Chapter 1 Introduction (pages 1–56):
Chapter 2 The Homogeneous Poisson Point Process (pages 57–98):
Chapter 3 Finite Point Processes (pages 99–171):
Chapter 4 Stationary Point Processes (pages 173–291):
Chapter 5 Stationary Marked Point Processes (pages 293–361):
Chapter 6 Modelling and Simulation of Stationary Point Processes (pages 363–444):
Chapter 7 Fitting and Testing Point Process Models (pages 445–477):