argosDiag2Cov

Using this function the user can transform the Argos diagnostic data for location
error into a form usable as a covariance matrix to approximate the location error with a
bivariate Gaussian distribution. The resulting data.frame should be attached back to the data
with <code>cbind</code> to use with the <code>crwMLE</code> function.

Fit continuous-time correlated random walk models with time indexed
covariates to animal telemetry data. The model is fit using the Kalman-filter on
a state space version of the continuous-time stochastic movement process.

Devin Johnson

crawl

Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data

Devin S. Johnson

Josh London

Brett T. McClintock

Kenady Wilson

argosDiag2Cov function

<dl><dt>Major</dt>
<dd>A vector containing the major axis information for each observation (na values are ok)</dd>
<dt>Minor</dt>
<dd>A vector containing the minor axis information for each observation (na values are ok)</dd>
<dt>Orientation</dt>
<dd>A vector containing the angle orientation of the Major axis from North (na values are ok)</dd></dl>

Arguments

Author

Transform Argos diagnostic data to covariance matrix form — argosDiag2Cov

<dl>

<dt>Major</dt>
<dd>A vector containing the major axis information for each observation (na values are ok)</dd>


<dt>Minor</dt>
<dd>A vector containing the minor axis information for each observation (na values are ok)</dd>


<dt>Orientation</dt>
<dd>A vector containing the angle orientation of the Major axis from North (na values are ok)</dd>

</dl>

argosDiag2Cov: Transform Argos diagnostic data to covariance matrix form

Description

Usage

Value

Arguments

Author