An internal prediction method for computing density on the sampled transects.
predDensity(object, propUnitSurveyed =1)
Arguments
object: An Rdistance model frame or fitted distance function, normally produced by a call to dfuncEstim.
propUnitSurveyed: A scalar or vector of real numbers between 0 and 1. The proportion of the default sampling unit that was surveyed. If both sides of line transects were observed, propUnitSurveyed
= 1. If only a single side of line transects were observed, set propUnitSurveyed = 0.5. For point transects, this should be set to the proportion of each circle that was observed. Length must either be 1 or the total number of transects in x.
Returns
A data frame containing the original data used to fit the distance function, plus an additional column containing the density of individuals on each transect.