| Ldot | R Documentation |
Calculates an estimate of the multitype L-function
(from type i to any type)
for a multitype point pattern.
Ldot(X, i, ..., from, correction)
X |
The observed point pattern,
from which an estimate of the dot-type |
i |
The type (mark value)
of the points in |
correction, ... |
Arguments passed to |
from |
An alternative way to specify |
This command computes
L_{i\bullet}(r) = \sqrt{\frac{K_{i\bullet}(r)}{\pi}}
where K_{i\bullet}(r) is the multitype K-function
from points of type i to points of any type.
See Kdot for information
about K_{i\bullet}(r).
The command Ldot first calls
Kdot to compute the estimate of the i-to-any
K-function, and then applies the square root transformation.
For a marked Poisson point process,
the theoretical value of the L-function is
L_{i\bullet}(r) = r.
The square root also has the effect of stabilising
the variance of the estimator, so that L_{i\bullet}
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_{i\bullet}
obtained by the edge corrections named.
and \rolf
Kdot,
Lcross,
Lest
data(amacrine)
L <- Ldot(amacrine, "off")
plot(L)
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