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An Introduction to Simulation-Based Inference for Spatial Point Processes

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Spatial Statistics and Computational Methods

Part of the book series: Lecture Notes in Statistics ((LNS,volume 173))

Abstract

Spatial point processes play a fundamental role in spatial statistics. In the simplest case they model “small” objects that may be identified by a map of points showing stores, towns, plants, nests, or cases of a disease observed in a two dimensional region or galaxies observed in a three dimensional region. The points may be decorated with marks (such as sizes or types) whereby marked point processes are obtained. The areas of applications are manifold: astronomy, geography, ecology, forestry, spatial epidemiology, image analysis, and many more. Currently spatial point processes is an active area of research, which probably will be of increasing importance for many new applications.

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Authors
  1. Jesper Møller
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  2. Rasmus P. Waagepetersen
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Editors and Affiliations

  1. Department of Mathematical Sciences, Aalborg University, Fredrik Bajers Vej 7G, DK-9220, Aalborg, Denmark

    Jesper Møller

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Møller, J., Waagepetersen, R.P. (2003). An Introduction to Simulation-Based Inference for Spatial Point Processes. In: Møller, J. (eds) Spatial Statistics and Computational Methods. Lecture Notes in Statistics, vol 173. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21811-3_4

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