brk_dispersal {briskaR}R Documentation

Compute dispersal

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).


[Package briskaR version 1.0.3 Index]