sim_bcrw: Simulate Biased Correlated Random Walk (BCRW)

In picardis/fidelity: Generate Null Expectations for Animal Site Fidelity

Simulate Biased Correlated Random Walk (BCRW)

Description

Function to simulate a movement track under a Biased Correlated Random Walk model. Called as needed by simulate_tracks.

Usage

sim_bcrw(
  n_steps,
  sl_par,
  rho,
  start_loc,
  beta,
  prange,
  lands,
  neighbors,
  jitter,
  scenario_id = NA,
  lands_name = NA
)

Arguments

n_steps	Numeric. Number of steps to simulate
sl_par	Vector of length 2 containing the shape and scale of the step length distribution (Weibull)
rho	Numeric. Movement autocorrelation parameter
start_loc	Data frame with a single row containing coordinates of the starting location (columns x and y). 0, 0 if unprojected.
beta	Numeric. Value of bias
prange	Numeric. Perceptual range radius. Units match the units of the coordinates: m if UTM, degrees if lat/long.
lands	Raster of habitat quality.
neighbors	List of cell neighborhoods created by get_neighbors. #' @param jitter Logical. If TRUE, starting locations will be jittered by 20 km in any direction for spatially-explicit models (MCRW and BCRW).
scenario_id	Character string. Optional ID of the current scenario. Automatically assigned when using simulate_tracks().
lands_name	Path to the landscape file.

Value

Returns a data frame containing the coordinates of each location along the simulated track and the associated simulation parameter values as specified in create_scenarios_bcrw.

picardis/fidelity documentation built on Dec. 10, 2022, 6:16 a.m.