satellite.model | R Documentation |
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.
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 |
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 |
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.
See solar.model
for some related detail.
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.
Michael D. Sumner
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 solar.model
for the counterpart model
for estimating positions for light tags.
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