nlm_mpd: nlm_mpd

In ropensci/NLMR: Simulating Neutral Landscape Models

nlm_mpd

Description

Simulates a midpoint displacement neutral landscape model.

Usage

nlm_mpd(
  ncol,
  nrow,
  resolution = 1,
  roughness = 0.5,
  rand_dev = 1,
  torus = FALSE,
  rescale = TRUE,
  verbose = 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.
roughness	[numerical(1)] Controls the level of spatial autocorrelation (!= Hurst exponent)
rand_dev	[numerical(1)] Initial standard deviation for the displacement step (default == 1), sets the scale of the overall variance in the resulting landscape.
torus	[logical(1)] Logical value indicating wether the algorithm should be simulated on a torus (default FALSE)
rescale	[logical(1)] If TRUE (default), the values are rescaled between 0-1.
verbose	[logical(1)] If TRUE (default), the user gets a warning that the functions changes the dimensions to an appropriate one for the algorithm.

Details

The algorithm is a direct implementation of the midpoint displacement algorithm. It performs the following steps:

• Initialization: Determine the smallest fit of max(ncol, nrow) in n^2 + 1 and assign value to n. Setup matrix of size (n^2 + 1)*(n^2 + 1). Afterwards, assign a random value to the four corners of the matrix.

• Square Step: For each square in the matrix, assign the average of the four corner points plus a random value to the midpoint of that square.

• Diamond Step: For each diamond in the matrix, assign the average of the four corner points plus a random value to the midpoint of that diamond.

At each iteration the roughness, an approximation to common Hurst exponent, is reduced.

Value

RasterLayer

References

https://en.wikipedia.org/wiki/Diamond-square_algorithm

Examples

# simulate midpoint displacement
midpoint_displacememt <- nlm_mpd(ncol = 100,
                                 nrow = 100,
                                 roughness = 0.3)
## Not run: 
# visualize the NLM
landscapetools::show_landscape(midpoint_displacememt)

## End(Not run)

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