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Spatial Point Patterns: Models and Statistics

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Stochastic Geometry, Spatial Statistics and Random Fields

Part of the book series: Lecture Notes in Mathematics ((LNM,volume 2068))

Abstract

This chapter gives a brief introduction to spatial point processes, with a view to applications. The three sections focus on the construction of point process models, the simulation of point processes, and statistical inference. For further background, we recommend [Daley et al., Probability and its applications (New York). Springer, New York, 2003/2008; Diggle, Statistical analysis of spatial point patterns, 2nd edn. Hodder Arnold, London, 2003; Illian et al., Statistical analysis and modelling of spatial point patterns. Wiley, Chichester, 2008; Møller et al., Statistical inference and simulation for spatial point processes. Chapman & Hall, Boca Raton, 2004].

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Authors and Affiliations

  1. CSIRO, Perth, Australia

    Adrian Baddeley

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  1. Adrian Baddeley
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Correspondence to Adrian Baddeley .

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  1. Helmholtzstr. 18, Ulm, 89069, Germany

    Evgeny Spodarev

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Baddeley, A. (2013). Spatial Point Patterns: Models and Statistics. In: Spodarev, E. (eds) Stochastic Geometry, Spatial Statistics and Random Fields. Lecture Notes in Mathematics, vol 2068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33305-7_3

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