briskaR (version 1.0.4)

brk_exposure: Compute exposure for a `RasterStack` class object from package `raster`

Description

Compute exposure for a `RasterStack` class object from package `raster`

Usage

brk_exposure(
  RasterStack_dispersal,
  sf,
  key,
  keyTime,
  loss,
  beta,
  nbr_cores,
  quiet,
  unit
)

Arguments

RasterStack_dispersal

RasterStack. An object of classRasterStack (see package raster for details).

sf

sf. And object of class `sf` on which exposure is computed from the previous list of raster by patch `RasterStack_dispersal`. See sf for details.

key

name of the column in `sf` object providing emission amount

keyTime

name o the column of sf for time

loss

numeric. scalar or vector (of the same length as the number the timeline include is argument sf) to apply a loss on exposure cells.

beta

numeric. toxic adherence parameter between 0 and 1 (default = 0.4).

nbr_cores

integer. Set the number of cores to used for parallel computing.

quiet

boolean. Set `TRUE` to remove progress bar.

unit

default is meter "m". but should be more generic: "any".

Details

Local intensity depends of beta and alpha parameters. Beta represents the toxic adherence between [0,1]. Alpha represents a list of parameters of the lost of toxic particules due to covariates (precipitation). There are two configurations to integrate the loss in the function : (i) simulating covariate (simulate=TRUE) or (ii) uploading covariate (simulate=FALSE). The covariate is linked to the loss by a linear regression with paramaters minalpha, maxalpha, covariate_threshold.