dispersal_kernel: Create a dispersal kernel

Description

Create a dispersal kernel

Usage

dispersal_kernel(
  formula,
  coefs,
  habitat = NULL,
  other.vars = NULL,
  start,
  max.dist,
  init.dir = amt::as_rad(45),
  standardize = TRUE,
  raster = TRUE,
  stop = 0
)

Value

A list with the following entries

formula: The formula used to construct the dispersal kernel.
coefs: The selection coefficients.
habitat: Habitat covariates used to construct the dispersal kernel.
other.var: Other (time) varying covariates used to construct the dispersal kernel.
start: The start position.
max.dist: The maximum distance of the dispersal kernel.
init.dir: The initial direction of the dispersal kernel.
standardize: Whether or not the dispersal kernel was standardized.
raster: Should a RasterLayer be returned.
stop: What happens when the animal steps outside the landscape.
prep_dk: Metrics for each cell in the dispersal kernel (e.g., step length, direction, ...)
dispersal_kernel: A RasterLayer if raster = TRUE or a tibble of the dispersal kernel.

Arguments

formula: [formula]
The formula for the dispersal kernel.
coefs: [named numeric]{>1}
Coefficients for the terms in the formula. Names of the coefficients must match the name of the terms.
habitat: [RasterLayer]
The habitat matrix / landscape.
other.vars: [data.frame = NULL]
Possible other covariates.
start: [numeric(2)]
Coordinates of the start position.
max.dist: [numeric(1)]
The maximum distance of the dispersal kernel.
init.dir: [numeric(1)]
The initial direction in rad.
standardize: [logical(1) = TRUE]
Should the result be standardized.
raster: [logical(1) = TRUE]
Should a RasterLayer be returned.
stop: [integer(1)=1]{0,1}
What happens when the animal steps out of the landscape.