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spatstat: An R Package for Analyzing Spatial Point Patterns

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  • Baddeley, Adrian
  • Turner, Rolf

Abstract

spatstat is a package for analyzing spatial point pattern data. Its functionality includes exploratory data analysis, model-fitting, and simulation. It is designed to handle realistic datasets, including inhomogeneous point patterns, spatial sampling regions of arbitrary shape, extra covariate data, and "marks" attached to the points of the point pattern. A unique feature of spatstat is its generic algorithm for fitting point process models to point pattern data. The interface to this algorithm is a function ppm that is strongly analogous to lm and glm. This paper is a general description of spatstat and an introduction for new users.

Suggested Citation

  • Baddeley, Adrian & Turner, Rolf, 2005. "spatstat: An R Package for Analyzing Spatial Point Patterns," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 12(i06).
    • Handle: RePEc:jss:jstsof:v:012:i06
    DOI: http://hdl.handle.net/10.18637/jss.v012.i06
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    References listed on IDEAS

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    1. M. N. M. Van Lieshout & A. J. Baddeley, 1999. "Indices of Dependence Between Types in Multivariate Point Patterns," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(4), pages 511-532, December.
    2. Peng, Roger, 2003. "Multi-dimensional Point Process Models in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i16).
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