Produce a neutral landscape using a midpoint displacement algorithm

This is a wrapper for the nlm_mpd function in the NLMR package. The main addition is that it makes sure that the output raster conforms in extent with the input raster x, since nlm_mpd can output a smaller raster.

neutralLandscapeMap(
  x,
  pad = 10L,
  type = c("nlm_mpd", "nlm_gaussianfield", "nlm_distancegradient", "nlm_edgegradient",
    "nlm_fbm", "nlm_mosaicfield", "nlm_mosaicgibbs", "nlm_mosaictess", "nlm_neigh",
    "nlm_percolation", "nlm_planargradient", "nlm_random",
    "nlm_randomrectangularcluster"),
  ...
)

Arguments

x

A RasterLayer/SpatRaster to use as a template.

pad

Integer. Number of cells by which to pad x internally to ensure nlm_mpd produces a raster corresponding to the dimensions of x.

type

One of the supported NLMR functions.

...

Further arguments passed to NLMR function specified in type (except ncol, nrow and resolution, which are extracted from x).

Value

A RasterLayer/SpatRaster with same extent as x, with randomly generated values.

See also

nlm_mpd

Examples

# \donttest{
  if (requireNamespace("NLMR", quietly = TRUE) &&
      requireNamespace("raster", quietly = TRUE)) {
    library(terra)
    nx <- ny <- 100L
    r <- rast(nrows = ny, ncols = nx,
              xmin = -nx/2, xmax = nx/2,
              ymin = -ny/2, ymax = ny/2)
    ## or with raster package:
    # r <- raster::raster(nrows = ny, ncols = nx,
    #                     xmn = -nx/2, xmx = nx/2,
    #                     ymn = -ny/2, ymx = ny/2)
    map1 <- neutralLandscapeMap(r,
                                type = "nlm_mpd",
                                roughness = 0.65,
                                rand_dev = 200,
                                rescale = FALSE,
                                verbose = FALSE)
    if (interactive()) plot(map1)
  }
# }