Lhat {dbmss} | R Documentation |
Estimates the L function
Lhat(X, r = NULL, ReferenceType = "", NeighborType = "", CheckArguments = TRUE)
X |
A weighted, marked, planar point pattern ( |
r |
A vector of distances. If |
ReferenceType |
One of the point types. Default is all point types. |
NeighborType |
One of the point types. Default is all point types. |
CheckArguments |
Logical; if |
L is the normalized version of K: L(r)=\sqrt{\frac{K}{\pi}}-r
.
An object of class fv
, see fv.object
, which can be plotted directly using plot.fv
.
L was originally defined as L(r)=\sqrt{\frac{K}{\pi}}
. It has been used as L(r)=\sqrt{\frac{K}{\pi}}-r
in a part of the literature because this normalization is easier to plot.
Besag, J. E. (1977). Comments on Ripley's paper. Journal of the Royal Statistical Society B 39(2): 193-195.
data(paracou16)
autoplot(paracou16)
# Calculate L
r <- 0:30
(Paracou <- Lhat(paracou16, r))
# Plot
autoplot(Paracou)