crw: Simulate a correlated random walk

In ocean-tracking-network/glatos: A package for the Great Lakes Acoustic Telemetry Observation System

Simulate a correlated random walk

Description

Simulate a random walk as series of equal-length steps with turning angles drawn from a normal distribution.

Usage

crw(
  theta = c(0, 5),
  stepLen = 10,
  initPos = c(0, 0),
  initHeading = 0,
  nsteps = 10000
)

Arguments

theta	A 2-element numeric vector with turn angle parameters (theta[1] = mean; theta[2] = sd) from normal distribution.
stepLen	A numeric scalar with total distance moved in each step.
initPos	A 2-element numeric vector with nital position (initPos[1]=x, initPos[2]=y).
initHeading	A numeric scalar with initial heading in degrees.
nsteps	A numeric scalar with number of steps to simulate.

Details

First, nsteps turn angles are drawn from a normal distribution. Second, the cumulative sum of the vector of turn angles defines the heading within each step. The x and y component vectors in each are then calculated and summed to obtain the simualted path.

Value

A two-column data frame containing:

x	x coordinates
y	y coordinates

Note

Adapted from code provided by Tom Binder.

Author(s)

C. Holbrook ([e-mail])

Examples

foo <- crw(
  theta = c(0, 5), stepLen = 10, initPos = c(0, 0), initHeading = 0,
  nsteps = 10
)
plot(foo, type = "o", pch = 20, asp = c(1, 1))

ocean-tracking-network/glatos documentation built on April 17, 2025, 10:38 p.m.