satellite.model: Function to create a satellite model object for metropolis...

satellite.modelR Documentation

Function to create a satellite model object for metropolis location sampler

Description

A model to manage likelihood functions, environmental masks and behavioural likelihood functions for pre-derived satellite locations. There are some options for configuration, but this may be considered a template for any given model. The model function exists simply to make the object construction simple.

Arguments

day

vector of date-times for each light level

X

matrix of pre-derived satellite locations

proposal.x

function from object managing X proposals

proposal.z

function from object managing Z proposals

mask.x

lookup function for X's against masks

mask.z

lookup function for Z's against masks

fix.release

logical - is the release point known?

fix.recapture

logical - is the recapture point known?

start.x

starting positions for the primary locations, see position.logp

start.z

starting positions for the intermediat locations.

posn.sigma

variance for locations

behav.dist

distribution to use for behavioural constraint

behav.mean

mean to use for behavioural distribution

behav.sd

variance for behavioural distribution

proj.string

PROJ.4 string for coordinate system used

Details

posn.sigma may be a single value for all estimates, or a vector of values for each position estimate.

Transformation of coordinates is supported via a simple function that only performs coordinate transforms if proj.string is not longlat.

Value

See solar.model for some related detail.

Note

These are simple wrapper functions to create the desired model for use in metropolis. These models are structurally very simple and may be easily edited as required.

Author(s)

Michael D. Sumner

References

Sumner, Wotherspoon and Hindell (2009). Bayesian Estimation of Animal Movement from Archival and Satellite Tags, PLoS ONE. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0007324

See Also

See also solar.model for the counterpart model for estimating positions for light tags.


tripEstimation documentation built on April 22, 2023, 1:11 a.m.