`R/initialize.R`

`neutralLandscapeMap.Rd`

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"),
...
)
```

- 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`

)

A `RasterLayer`

/`SpatRaster`

with same extent as `x`

, with randomly generated values.

`nlm_mpd`

```
# \donttest{
if (requireNamespace("NLMR", 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)
}
# }
```