Khat: Estimation of the K function

In dbmss: Distance-Based Measures of Spatial Structures

Estimation of the K function

Description

Estimates the K function

Usage

Khat(X, r = NULL, ReferenceType = "", NeighborType = ReferenceType, CheckArguments = TRUE)

Arguments

X	A weighted, marked, planar point pattern (wmppp.object).
r	A vector of distances. If NULL, a sensible default value is chosen (512 intervals, from 0 to half the diameter of the window) following spatstat.
ReferenceType	One of the point types. Default is all point types.
NeighborType	One of the point types. By default, the same as reference type.
CheckArguments	Logical; if TRUE, the function arguments are verified. Should be set to FALSE to save time in simulations for example, when the arguments have been checked elsewhere.

Details

K is a cumulative, topographic measure of a point pattern structure.

Value

An object of class fv, see fv.object, which can be plotted directly using plot.fv.

Note

The computation of Khat relies on spatstat functions Kest and Kcross.

References

Ripley, B. D. (1976). The Foundations of Stochastic Geometry. Annals of Probability 4(6): 995-998.

Ripley, B. D. (1977). Modelling Spatial Patterns. Journal of the Royal Statistical Society B 39(2): 172-212.

See Also

Lhat, KEnvelope, Ktest

Examples

data(paracou16)
autoplot(paracou16)

# Calculate K
r <- 0:30
(Paracou <- Khat(paracou16, r))

# Plot (after normalization by pi.r^2)
autoplot(Paracou, ./(pi*r^2) ~ r)

dbmss documentation built on June 8, 2025, 1:59 p.m.