sim_crw: Simulate Correlated Random Walk (CRW)
In picardis/fidelity: Generate Null Expectations for Animal Site Fidelity

View source: R/fidelity_funs_simulate-crw.R

sim_crw

R Documentation

Simulate Correlated Random Walk (CRW)

Description

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

Usage

sim_crw(
  n_steps,
  sl_par,
  rho,
  start_loc = data.frame(x = 0, y = 0),
  scenario_id = 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.
`scenario_id`	Character string. Optional ID of the current scenario. Automatically assigned when using simulate_tracks().

Value

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

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