HMMoce: HMMoce: an R package for improved analysis of marine animal...

Description Author(s) References See Also

Description

The HMMoce package provides a workflow for leveraging all available data from tags deployed on marine animals to estimate movements, space use, and behavior. Marine animals, mostly fish, are notoriously difficult to track with electronic tags because these devices require occupation of the surface-air interface to record satellite-based geolocations or occupation of the photic zone to collect light levels to estimate position. It is common among fishes to avoid the photic zone during daylight hours thus rendering this geolocation approach useless. In the HMMoce package, we leverage all tag-based data streams, like depth-temperature profiles, in conjunction with whatever traditional geolocation data (e.g. light) is available to calculate the most probable movements of the tagged animal. This is performed in a hidden Markov framework originally developed by Pedersen et al. 2008.

Author(s)

Maintainer: Camrin Braun camrin.braun@gmail.com

Authors:

Other contributors:

References

See Also

Useful links:


HMMoce documentation built on Nov. 17, 2017, 5:57 a.m.