Generate Matern Clustering Point Pattern for Landscape Sites

This function is a low-level utility to generate spatial point patterns for the MICRO-LANDSCAPE point sets.

pointsClustered(n, meanParents = 10, clusteredness = 0.25, xLim = c(0, 1),
  yLim = c(0, 1))

Arguments

n

number of points to generate
meanParents

intensity of Poisson process for cluster centers
clusteredness

control mean scatter of child points around cluster centers
xLim

a length 2 numeric vector of bounds for the sampling grid
yLim

a length 2 numeric vector of bounds for the sampling grid

Value

a list with two elements x and y corresponding to the sampled points

Examples

pointsClustered(n=10, meanParents = 10, clusteredness = .25, xLim=c(0,1), yLim=c(0,1))
#> $x
#>  [1] 0.4771965 0.5336016 0.4327689 0.8407359 0.2374943 0.3296938 0.3661051
#>  [8] 0.9377476 0.2500580 0.3965575
#> 
#> $y
#>  [1] 0.3758097 0.4228861 0.4026724 0.1464707 0.6870093 0.1108481 0.9404719
#>  [8] 0.6796553 0.2512963 0.8229628
#>