nlm_mosaicfield: nlm_mosaicfield

In ropensci/NLMR: Simulating Neutral Landscape Models

nlm_mosaicfield

Description

Simulates a mosaic random field neutral landscape model.

Usage

nlm_mosaicfield(
  ncol,
  nrow,
  resolution = 1,
  n = 20,
  mosaic_mean = 0.5,
  mosaic_sd = 0.5,
  collect = FALSE,
  infinit = FALSE,
  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.
n	[numerical(1)] Number of steps over which the mosaic random field algorithm is run
mosaic_mean	[numerical(1)] Mean value of the mosaic displacement distribution
mosaic_sd	[numerical(1)] Standard deviation of the mosaic displacement distribution
collect	[logical(1)] return RasterBrick of all steps 1:n
infinit	[logical(1)] return raster of the random mosaic field algorithm with infinite steps
rescale	[logical(1)] If TRUE (default), the values are rescaled between 0-1.

Value

RasterLayer or List with RasterLayer/s and/or RasterBrick

References

Schwab, Dimitri, Martin Schlather, and Jürgen Potthoff. "A general class of mosaic random fields." arXiv preprint arXiv:1709.01441 (2017).
Baddeley, Adrian, Ege Rubak, and Rolf Turner. Spatial point patterns: methodology and applications with R. CRC Press, 2015.

Examples

# simulate mosaic random field
mosaic_field <- nlm_mosaicfield(ncol = 100,
                                nrow = 200,
                                n = NA,
                                infinit = TRUE,
                                collect = FALSE)
## Not run: 
# visualize the NLM
landscapetools::show_landscape(mosaic_field)

## End(Not run)

ropensci/NLMR documentation built on June 15, 2025, 4:29 a.m.