nlm_randomrectangularcluster

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

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.

Value

RasterLayer

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).

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)
# }