nlm_distancegradient: nlm_distancegradient

In marcosci/NLMR: Simulating Neutral Landscape Models

nlm_distancegradient

Description

Simulates a distance-gradient neutral landscape model.

Usage

nlm_distancegradient(ncol, nrow, resolution = 1, origin, rescale = 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.
origin	[numerical(4)] Edge coordinates of the origin (raster::extent with xmin, xmax, ymin, ymax) of the distance measurement.
rescale	[logical(1)] If TRUE (default), the values are rescaled between 0-1. Otherwise, the distance in raster units is calculated.

Details

The function takes the number of columns and rows as input and creates a RasterLayer with the same extent. Origin is a numeric vector of xmin, xmax, ymin, ymax for a rectangle inside the raster from which the distance is measured.

Value

RasterLayer

See Also

nlm_edgegradient, nlm_planargradient

Examples

# simulate a distance gradient
distance_gradient <- nlm_distancegradient(ncol = 100, nrow = 100,
                                           origin = c(20, 30, 10, 15))
## Not run: 
# visualize the NLM
landscapetools::show_landscape(distance_gradient)

## End(Not run)

marcosci/NLMR documentation built on Oct. 18, 2022, 3:31 a.m.