| CueCountingExample | R Documentation |
Cues are treated as an indirect count, requiring the use of multipliers.
A data.frame with 109 rows and 15 variables.
'Region.Label stratum labels
Area size (km^2) of each stratum
Sample.Label transect labels
Cue.rate rate of blows per animal per hour
Cue.rate.SE variability in cue rate
Cue.rate.df degrees of freedom (number of animals sampled for cues)
object object ID
distance perpendicular distance (km)
Sample.Fraction proportion of full circle scanned (radians)
Sample.Fraction.SE variability in sampling fraction (0)
Search.time Duration of scanning effort (hr)
bss Beaufort sea state
sp Species detected (all observations W in these data)
size Number of animals in group (all 1 in these data)
Study.Area study area name
Because whale blows disappear instantaneously, there is no need to measure a decay rate. However a cue production rate (blows per individual per unit time) is required, as is a measure of variability of that rate.
There are two other nuances in this survey. Even though the survey
is taking place on a moving ship, effort is measured as amount of time
scanning for blows. In some instances, it is not possible for the observer
to scan the sea all around them as view may be restricted by the ship's
superstructure. Here a sampling fraction multiplier is employed to deal
with restricted vision. Units of measure of cue.rate and Search.time
must be equal.
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