StraussHard {spatstat}R Documentation

The Strauss / Hard Core Point Process Model

Description

Creates an instance of the ``Strauss/ hard core'' point process model which can then be fitted to point pattern data.

Usage

  StraussHard(r, hc)

Arguments

r The interaction radius of the Strauss interaction
hc The hard core distance

Details

A Strauss/hard core process with interaction radius r, hard core distance h < r, and parameters beta and gamma, is a pairwise interaction point process in which

Value

An object of class "interact" describing the interpoint interaction structure of the ``Strauss/hard core'' process with Strauss interaction radius r and hard core distance hc.

Author(s)

Adrian Baddeley adrian@maths.uwa.edu.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner rolf@math.unb.ca http://www.math.unb.ca/~rolf

References

Baddeley, A. and Turner, R. (2000) Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283–322.

Ripley, B.D. (1981) Spatial statistics. John Wiley and Sons.

Strauss, D.J. (1975) A model for clustering. Biometrika 63, 467–475.

See Also

mpl, pairwise.family, ppm.object

Examples

   library(spatstat)
   StraussHard(r=1,hc=0.02)
   # prints a sensible description of itself

   data(cells) 
   mpl(cells, ~1, StraussHard(r=0.1, hc=0.05), rbord=0.1)
   # fit the stationary Strauss/hard core  process to `cells'

   mpl(cells, ~ polynom(x,y,3), StraussHard(r=0.1, hc=0.05), rbord=0.1)
   # fit a nonstationary Strauss/hard core process
   # with log-cubic polynomial trend
   

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