brk_dispersal: Compute dispersal

In briskaR: Biological Risk Assessment

Description

Simulate contaminants or individuals frequency over the landscape by two steps: dispersal of elements and local intensity/frequency of elements after dispersal.

Usage

brk_dispersal(
  object,
  size_raster,
  tolerance_square,
  kernel,
  kernel.options,
  nbr_cores,
  squared_frame
)

Arguments

object	sf or patialPolygonsDataFrame. A simple feature of class sf or SpatialPolygonsDataFrame
size_raster	integer. Raster size (default = 2^10)
tolerance_square	numeric. Tolerance rate to test if an sf set is squared
kernel	string. Dispersion kernel, function name (default = NIG)
kernel.options	list. Parameters list for the kernel function
nbr_cores	integer. Parameters for parallel computing: the number of cores to use, i.e. at most how many child processes will be run simultaneously. Default is 1 (non parallel).
squared_frame	sf. Select the sf to be considered as frame to rasterized. Default is 'NULL', and 'object' is used.

Details

The dispersal of contaminants or individuals is implemented by rastering the landscape and by computing the convolution between sources emissions and a dispersal kernel.

The dispersion kernel by default is Normal Inverse Gaussian kernel ("NIG" function). Currently, two others are implemented "geometric" (with parameter a) and "2Dt" kernels (with parameters a, b, c1, c2).

briskaR documentation built on Dec. 11, 2021, 9:23 a.m.