nlm_randomrectangularcluster: nlm_randomrectangularcluster
In NLMR: Simulating Neutral Landscape Models

Description Usage Arguments Details Value References Examples

View source: R/nlm_randomrectangularcluster.R

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

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

`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.

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).

RasterLayer

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.

# 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)