nlm_fbm: nlm_fbm
In NLMR: Simulating Neutral Landscape Models

Description Usage Arguments Details Value References Examples

Creates a two-dimensional fractional Brownian motion neutral landscape model.

nlm_fbm(
  ncol,
  nrow,
  resolution = 1,
  fract_dim = 1,
  user_seed = NULL,
  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.
`fract_dim`	[`numerical(1)`] The fractal dimension of the process (0,2)
`user_seed`	[`numerical(1)`] Set random seed for the simulation
`rescale`	[`numeric(1)`] If `TRUE` (default), the values are rescaled between 0-1.
`...`	Other options to RandomFields::RFoptions, especially if using a fractal dimension between ~ 1.6 and 1.9 one must set the option `modus_operandi = "sloppy"`.

Neutral landscapes are generated using fractional Brownian motion, an extension of Brownian motion in which the amount of correlation between steps is controlled by frac_dim. A high value of frac_dim produces a relatively smooth, correlated surface while a low value produces a rough, uncorrelated one.

RasterLayer

Travis, J.M.J. & Dytham, C. (2004). A method for simulating patterns of habitat availability at static and dynamic range margins. Oikos , 104, 410–416.

Martin Schlather, Alexander Malinowski, Peter J. Menck, Marco Oesting, Kirstin Strokorb (2015). nlm_fBm. Journal of Statistical Software, 63(8), 1-25. URL http://www.jstatsoft.org/v63/i08/.

# simulate fractional brownian motion
fbm_raster  <- nlm_fbm(ncol = 20, nrow = 30, fract_dim = 0.8)

## Not run: 

# visualize the NLM
landscapetools::show_landscape(fbm_raster)


## End(Not run)