Lmmhat {dbmss} | R Documentation |
Estimation of the Lmm function
Description
Estimates the Lmm function
Usage
Lmmhat(X, r = NULL, ReferenceType = "", CheckArguments = TRUE)
Arguments
X |
A weighted, marked, planar point pattern ( |
r |
A vector of distances. If |
ReferenceType |
One of the point types. Others are ignored. Default is all point types. |
CheckArguments |
Logical; if |
Details
Lmm is the normalized version of Kmm: Lmm(r)=\sqrt{\frac{Kmm}{\pi}}-r
.
Value
An object of class fv
, see fv.object
, which can be plotted directly using plot.fv
.
References
Penttinen, A., Stoyan, D. and Henttonen, H. M. (1992). Marked Point Processes in Forest Statistics. Forest Science 38(4): 806-824.
Espa, G., Giuliani, D. and Arbia, G. (2010). Weighting Ripley's K-function to account for the firm dimension in the analysis of spatial concentration. Discussion Papers, 12/2010. Universita di Trento, Trento: 26.
See Also
Examples
data(paracou16)
# Keep only 50% of points to run this example
X <- as.wmppp(rthin(paracou16, 0.5))
autoplot(X,
labelSize = expression("Basal area (" ~cm^2~ ")"),
labelColor = "Species")
# Calculate Lmm
r <- seq(0, 30, 2)
(Paracou <- Lmmhat(X, r))
# Plot
autoplot(Paracou)