rGaussian_child: Generate clusters disperced with Gaussian density
In adchSTATS/icpp: Simulate a limiting iterated cluster point process

Description Usage Arguments Details Value

Generate clusters disperced by a normal distribution around a center point.

1	rGaussian_child(parents, sd, mean, var = NULL, ncores = 1)

`parents`	An object of class `ppp`. Determining the possition of the centre points
`sd`	A single non-negative numeric or a vector consisting of two non-negative numerics. May also be a matrix such that squaring each entry yields the covariance matrix.
`mean`	A non-negative numeric. The mean number of points in a single cluster.
`var`	A non-negative numeric. The variance of the number of points in a cluster. See details.
`ncores`	Positive integer specifying the number of cores to be used.

Number of point are Poisson distributed if var is NULL or identical to mean. It is negativel binomially distributed if var>mean and binomially distributed if var<mean.

A point pattern of class ppp in the same window as parents.

adchSTATS/icpp documentation built on May 28, 2019, 3:54 p.m.