View source: R/activity_code.r
transtime | R Documentation |
Transforms time expressed relative to either the time of a single solar event (anchor times - Nouvellet et al. 2012), or two solar events (such as sun rise and sun set - Vazquez et al. in press).
transtime(
dat,
anchor,
mnanchor = NULL,
type = c("average", "equinoctial", "single")
)
dat |
A vector of radian event clock times. |
anchor |
A vector or matrix matched with |
mnanchor |
A scalar or two-element vector of numeric radian mean anchor times (see Details). |
type |
The type of transformation to use (see Details). |
If double anchoring is requested (i.e. type
is equinoctial
or average), the anchor
argument requires a two-column matrix,
otherwise a vector. The argument mnanchor
can usually be left at
its default NULL
value. In this case, the mean anchors are set to
c(pi/2, pi*3/2)
when type
=="equinoctial", otherwise the
anchor
mean(s).
Although the anchors for transformation are usually likely to be solar events (e.g. sun rise and/or sunset), they could be other celestial (e.g. lunar) or human-related (e.g. timing of artificial lighting) events.
A vector of radian transformed times.
Vazquez, C., Rowcliffe, J.M., Spoelstra, K. and Jansen, P.A. in press. Comparing diel activity patterns of wildlife across latitudes and seasons: time transformation using day length. Methods in Ecology and Evolution.
Nouvellet, P., Rasmussen, G.S.A., Macdonald, D.W. and Courchamp, F. 2012. Noisy clocks and silent sunrises: measurement methods of daily activity pattern. Journal of Zoology 286: 179-184.
data(BCItime)
subdat <- subset(BCItime, species=="ocelot")
suntimes <- pi/12 * get_suntimes(subdat$date, 9.156335, -79.847682, -5)[, -3]
rawtimes <- subdat$time*2*pi
avgtimes <- transtime(rawtimes, suntimes)
eqntimes <- transtime(rawtimes, suntimes, type="equinoctial")
sngtimes <- transtime(rawtimes, suntimes[,1], type="single")
rawAct <- fitact(rawtimes)
avgAct <- fitact(avgtimes)
eqnAct <- fitact(eqntimes)
sngAct <- fitact(sngtimes)
plot(rawAct)
plot(avgAct, add=TRUE, data="n", tline=list(col="magenta"))
plot(eqnAct, add=TRUE, data="n", tline=list(col="orange"))
plot(sngAct, add=TRUE, data="n", tline=list(col="cyan"))
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