argosDiag2Cov: Transform Argos diagnostic data to covariance matrix form

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

Transform Argos diagnostic data to covariance matrix form

Description

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 cbind to use with the crwMLE function.

Usage

argosDiag2Cov(Major, Minor, Orientation)

Arguments

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

Value

A data.frame with the following columns

ln.sd.x	The log standard deviation of the location error in the x coordinate
ln.sd.y	The log standard deviation of the location error in the x coordinate
rho	The correlation of the bivariate location error ellipse

Author(s)

Devin S. Johnson

crawl documentation built on Oct. 10, 2022, 1:07 a.m.