nlm_mosaicfield: nlm_mosaicfield
In NLMR: Simulating Neutral Landscape Models

Description Usage Arguments Value References Examples

Simulates a mosaic random field neutral landscape model.

nlm_mosaicfield(
  ncol,
  nrow,
  resolution = 1,
  n = 20,
  mosaic_mean = 0.5,
  mosaic_sd = 0.5,
  collect = FALSE,
  infinit = FALSE,
  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.
`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.

RasterLayer or List with RasterLayer/s and/or RasterBrick

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.

# 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)