StraussHard {spatstat} | R Documentation |
Creates an instance of the ``Strauss/ hard core'' point process model which can then be fitted to point pattern data.
StraussHard(r, hc)
r |
The interaction radius of the Strauss interaction |
hc |
The hard core distance |
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
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
.
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
Baddeley, A. and Turner, R. (2000) Practical maximum pseudolikelihood for spatial point patterns. Australian and New Zealand Journal of Statistics 42, 283322.
Ripley, B.D. (1981) Spatial statistics. John Wiley and Sons.
Strauss, D.J. (1975) A model for clustering. Biometrika 63, 467475.
mpl
,
pairwise.family
,
ppm.object
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