nlm_percolation: nlm_percolation
In NLMR: Simulating Neutral Landscape Models

Description Usage Arguments Details Value References Examples

Generates a random percolation neutral landscape model.

1	nlm_percolation(ncol, nrow, resolution = 1, prob = 0.5)

`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.
`prob`	[`numerical(1)`] Probability value for setting a cell to 1.

The simulation of a random percolation map is accomplished in two steps:

Initialization: Setup matrix of size (ncol*nrow)
Map generation: For each cell in the matrix a single uniformly distributed random number is generated and tested against a probability prob. If the random number is smaller than prob, the cell is set to TRUE - if it is higher the cell is set to FALSE.

RasterLayer

1. Gardner RH, O'Neill R V, Turner MG, Dale VH. 1989. Quantifying scale-dependent effects of animal movement with simple percolation models. Landscape Ecology 3:217 - 227.

2. Gustafson, E.J. & Parker, G.R. (1992) Relationships between landcover proportion and indices of landscape spatial pattern. Landscape Ecology , 7, 101 - 110.

# simulate percolation model
percolation <- nlm_percolation(ncol = 100, nrow = 100, prob = 0.5)
## Not run: 
# visualize the NLM
landscapetools::show_landscape(percolation)

## End(Not run)