satellite.model: 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.

Value

See solar.model for some related detail.

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

Author

Michael D. Sumner

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.

References