Lcross | R Documentation |
Calculates an estimate of the cross-type L-function for a multitype point pattern.
Lcross(X, i, j, ..., from, to, correction)
X |
The observed point pattern,
from which an estimate of the cross-type |
i |
The type (mark value)
of the points in |
j |
The type (mark value)
of the points in |
correction , ... |
Arguments passed to |
from , to |
An alternative way to specify |
The cross-type L-function is a transformation of the cross-type K-function,
L_{ij}(r) = \sqrt{\frac{K_{ij}(r)}{\pi}}
where K_{ij}(r)
is the cross-type K-function
from type i
to type j
.
See Kcross
for information
about the cross-type K-function.
The command Lcross
first calls
Kcross
to compute the estimate of the cross-type K-function,
and then applies the square root transformation.
For a marked point pattern in which the points of type i
are independent of the points of type j
,
the theoretical value of the L-function is
L_{ij}(r) = r
.
The square root also has the effect of stabilising
the variance of the estimator, so that L_{ij}
is more appropriate
for use in simulation envelopes and hypothesis tests.
An object of class "fv"
, see fv.object
,
which can be plotted directly using plot.fv
.
Essentially a data frame containing columns
r |
the vector of values of the argument |
theo |
the theoretical value |
together with columns named
"border"
, "bord.modif"
,
"iso"
and/or "trans"
,
according to the selected edge corrections. These columns contain
estimates of the function L_{ij}
obtained by the edge corrections
named.
and \rolf
Kcross
,
Ldot
,
Lest
L <- Lcross(amacrine, "off", "on")
plot(L)
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