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

satellite.model {tripEstimation}

R 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