simulate_ud_from_dk

other covariates for each time step.

other.vars

Simulate a UD from a dispersal kernel

Manage and analyze animal movement data. The functionality of 'amt' includes methods to calculate home ranges, track statistics (e.g. step lengths, speed, or turning angles), prepare data for fitting habitat selection analyses, and simulation of space-use from fitted step-selection functions.

Johannes Signer

Animal Movement Tools

Brian Smith

Bjoern Reineking

Ulrike Schlaegel

John Fieberg

Josh O'Brien

Bernardo Niebuhr

Alec Robitaille

Scott LaPoint

simulate_ud_from_dk function

<dl><dt>obj</dt>
<dd>A dispersal kernel</dd>
<dt>n</dt>
<dd>Number of time steps</dd>
<dt>other.vars</dt>
<dd>other covariates for each time step.</dd></dl>

Arguments

Simulate a UD from a dispersal kernel — simulate_ud_from_dk

<dl>

<dt>obj</dt>
<dd>A dispersal kernel</dd>


<dt>n</dt>
<dd>Number of time steps</dd>


<dt>other.vars</dt>
<dd>other covariates for each time step.</dd>

</dl>

simulate_ud_from_dk: Simulate a UD from a dispersal kernel

Description

Usage

Value

Arguments