View source: R/pcfmulti.inhom.R
pcfdot.inhom | R Documentation |
Estimates the inhomogeneous multitype pair correlation function (from type i to any type) for a multitype point pattern.
pcfdot.inhom(X, i, lambdaI = NULL, lambdadot = NULL, ..., r = NULL, breaks = NULL, kernel="epanechnikov", bw=NULL, stoyan=0.15, correction = c("isotropic", "Ripley", "translate"), sigma = NULL, varcov = NULL)
X |
The observed point pattern, from which an estimate of the inhomogeneous multitype pair correlation function g[i.](r) will be computed. It must be a multitype point pattern (a marked point pattern whose marks are a factor). |
i |
The type (mark value)
of the points in |
lambdaI |
Optional.
Values of the estimated intensity function of the points of type |
lambdadot |
Optional.
Values of the estimated intensity function of the point pattern |
r |
Vector of values for the argument r at which g[i.](r) should be evaluated. There is a sensible default. |
breaks |
This argument is for internal use only. |
kernel |
Choice of smoothing kernel, passed to |
bw |
Bandwidth for smoothing kernel, passed to |
... |
Other arguments passed to the kernel density estimation
function |
stoyan |
Bandwidth coefficient; see Details. |
correction |
Choice of edge correction. |
sigma,varcov |
Optional arguments passed to |
The inhomogeneous multitype (type i to any type) pair correlation function g[i.](r) is a summary of the dependence between different types of points in a multitype spatial point process that does not have a uniform density of points.
The best intuitive interpretation is the following: the probability p(r) of finding a point of type i at location x and another point of any type at location y, where x and y are separated by a distance r, is equal to
p(r) = lambda[i](x) * lambda(y) * g(r) dx dy
where lambda[i] is the intensity function of the process of points of type i, and where lambda is the intensity function of the points of all types. For a multitype Poisson point process, this probability is p(r) = lambda[i](x) * lambda(y) so g[i.](r) = 1.
The command pcfdot.inhom
estimates the inhomogeneous
multitype pair correlation using a modified version of
the algorithm in pcf.ppp
.
If the arguments lambdaI
and lambdadot
are missing or
null, they are estimated from X
by kernel smoothing using a
leave-one-out estimator.
A function value table (object of class "fv"
).
Essentially a data frame containing the variables
r |
the vector of values of the argument r at which the inhomogeneous multitype pair correlation function g[i.](r) has been estimated |
theo |
vector of values equal to 1, the theoretical value of g[i.](r) for the Poisson process |
trans |
vector of values of g[i.](r) estimated by translation correction |
iso |
vector of values of g[i.](r) estimated by Ripley isotropic correction |
as required.
and \rolf
pcf.ppp
,
pcfinhom
,
pcfdot
,
pcfcross.inhom
data(amacrine) plot(pcfdot.inhom(amacrine, "on", stoyan=0.1), legendpos="bottom")
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