calc.locs: Calculate Position-based Likelihood

In HMMoce: Improved Analysis of Marine Animal Movement Data Using Hidden Markov Models

Description

calc.locs calculates likelihood estimates for each day of animal tag data using tag-based locations.

Usage

calc.locs(locs, gps = NULL, iniloc, locs.grid, dateVec)

Arguments

locs	is data frame from -Locations file output from DAP/Tag Portal for WC tags and contains GPS, Argos, and GPE locations as applicable.
gps	is data frame from -FastGPS file output from WC Tag Portal
iniloc	is 2 x 5 dataframe containing day, month, year, lat, lon for both tag and pop locations
locs.grid	is list output from setup.locs.grid
dateVec	is vector of dates from tag to pop-up in 1 day increments.

Details

GPS and Argos positions are given a "likelihood" using this function but are currently both considered to be "known" positions without error.

Value

L is an array of lon x lat likelihood surfaces (matrices) for each time point (3rd dimension)

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