G3multi | R Documentation |
For a marked point pattern, estimate the distribution of the distance from a
typical point in subset I
to the nearest point of subset J
.
G3multi( X, I, J, rmax = NULL, nrval = 128, disjoint = NULL, correction = c("rs", "km", "han") )
X |
The observed point pattern, from which an estimate of the multitype distance distribution function G[3IJ](r) will be computed. It must be a marked point pattern. See Details. |
I |
Subset of points of |
J |
Subset of points in |
rmax |
Optional. Maximum value of argument r for which G[3IJ](r) will be estimated. |
nrval |
Optional. Number of values of r for which G[3IJ](r) will
be estimated. A large value of |
disjoint |
Optional flag indicating whether the subsets |
correction |
Optional. Character string specifying the edge
correction(s) to be used. Options are |
The function G3multi
generalises G3est
(for
unmarked point patterns) and G3dot
(unimplmented) and
G3cross
(for multitype point patterns) to arbitrary marked
point patterns.
G3cross
, G3est
Other spatstat extensions:
G3cross()
,
K3scaled()
,
Tstat.pp3()
,
bdist.points()
,
marktable.pp3()
,
marktable()
,
quadratcount.pp3()
,
quadrats.pp3()
,
rPoissonCluster3()
,
rjitter.pp3()
,
rjitter.ppp()
,
rjitter()
,
rpoint3()
,
sample.pp3()
,
sample.ppp()
,
shift.pp3()
,
studpermu.test.pp3()
,
studpermu.test()
,
superimpose.pp3()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.