dbmss (version 2.3-0)

rRandomPositionK: Simulations of a point pattern according to the null hypothesis of random position defined for K

Description

Simulations of a point pattern according to the null hypothesis of random position defined for K.

Usage

rRandomPositionK(X, CheckArguments = TRUE)

Arguments

X

A weighted, marked, planar point pattern (wmppp.object).

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.

Value

A new weighted, marked, planar point pattern (an object of class wmppp, see wmppp.object).

Details

Points marks are kept unchanged and their position is drawn in a binomial process by runifpoint.

See Also

rRandomLocation

Examples

# Simulate a point pattern with two types
X <- rpoispp(5) 
PointType   <- sample(c("A", "B"), X$n, replace=TRUE)
PointWeight <- runif(X$n, min=1, max=10)
X$marks <- data.frame(PointType, PointWeight)
X <- as.wmppp(X)

par(mfrow=c(1,2))
plot(X, main="Original pattern, Point Type")

# Randomize it
Y <- rRandomPositionK(X)
# Invert the order of columns in mark to plot the point type, not the point weight
Y$marks <- data.frame(Y$marks$PointType, Y$marks$PointWeight)
# Points are randomly distributed
plot(Y, main="Randomized pattern, Point Type")