nlm_randomrectangularcluster: nlm_randomrectangularcluster

In marcosci/NLMR: Simulating Neutral Landscape Models

nlm_randomrectangularcluster

Description

Simulates a random rectangular clusters neutral landscape model with values ranging 0-1.

Usage

nlm_randomrectangularcluster(
  ncol,
  nrow,
  resolution = 1,
  minl,
  maxl,
  rescale = TRUE
)

Arguments

ncol	[numerical(1)] Number of columns forming the raster.
nrow	[numerical(1)] Number of rows forming the raster.
resolution	[numerical(1)] Resolution of the raster.
minl	[numerical(1)] The minimum possible width and height for each random rectangular cluster.
maxl	[numerical(1)] The maximum possible width and height for each random rectangular cluster.
rescale	[logical(1)] If TRUE (default), the values are rescaled between 0-1.

Details

The random rectangular cluster algorithm starts to fill a raster randomly with rectangles defined by minl and maxl until the surface of the landscape is completely covered. This is one type of realisation of a "falling/dead leaves" algorithm, for more details see Galerne & Gousseau (2012).

Value

RasterLayer

References

Gustafson, E.J. & Parker, G.R. (1992). Relationships between landcover proportion and indices of landscape spatial pattern. Landscape ecology, 7, 101–110. Galerne B. & Gousseau Y. (2012). The Transparent Dead Leaves Model. Advances in Applied Probability, Applied Probability Trust, 44, 1–20.

Examples

# simulate random rectangular cluster
randomrectangular_cluster <- nlm_randomrectangularcluster(ncol = 50,
                                                          nrow = 30,
                                                          minl = 5,
                                                          maxl = 10)
## Not run: 
# visualize the NLM
landscapetools::show_landscape(randomrectangular_cluster)

## End(Not run)

marcosci/NLMR documentation built on Oct. 18, 2022, 3:31 a.m.