simObsData | R Documentation |
Simulates observed location data subject to temporal irregularity and/or location measurement error
simObsData(data, lambda, errorEllipse, ...) ## S3 method for class 'momentuHMMData' simObsData(data, lambda, errorEllipse, ...) ## S3 method for class 'momentuHierHMMData' simObsData(data, lambda, errorEllipse, coordLevel, ...)
data |
A |
lambda |
Observation rate for location data. If |
errorEllipse |
List providing the bounds for the semi-major axis ( |
... |
further arguments passed to or from other methods |
coordLevel |
Level of the hierarchy in which the location data are obtained |
Simulated location data that are temporally-irregular (i.e., lambda>0
) and/or with location measurement error (i.e., errorEllipse!=NULL
) are returned
as a data frame suitable for analysis using crawlWrap
.
A dataframe of:
time |
Numeric time of each observed (and missing) observation |
ID |
The ID(s) of the observed animal(s) |
x |
Either easting or longitude observed location |
y |
Either norting or latitude observed location |
... |
Data streams that are not derived from location (if applicable) |
... |
Covariates at temporally-regular true ( |
mux |
Either easting or longitude true location |
muy |
Either norting or latitude true location |
error_semimajor_axis |
error ellipse semi-major axis (if applicable) |
error_semiminor_axis |
error ellipse semi-minor axis (if applicable) |
error_ellipse_orientation |
error ellipse orientation (if applicable) |
ln.sd.x |
log of the square root of the x-variance of bivariate normal error (if applicable; required for error ellipse models in |
ln.sd.y |
log of the square root of the y-variance of bivariate normal error (if applicable; required for error ellipse models in |
error.corr |
correlation term of bivariate normal error (if applicable; required for error ellipse models in |
McClintock BT, London JM, Cameron MF, Boveng PL. 2015. Modelling animal movement using the Argos satellite telemetry location error ellipse. Methods in Ecology and Evolution 6(3):266-277.
crawlWrap
, prepData
, simData
simHierData
# extract momentuHMMData example data <- example$m$data lambda <- 2 # expect 2 observations per time step errorEllipse <- list(M=c(0,50),m=c(0,50),r=c(0,180)) obsData1 <- simObsData(data,lambda=lambda,errorEllipse=errorEllipse) errorEllipse <- list(M=50,m=50,r=180) obsData2 <- simObsData(data,lambda=lambda,errorEllipse=errorEllipse)
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