Hi all,
I am working with aerial distance sampling data. We conducted line transects from a helicopter flying at an altitude of 60 metres. For all observations directly beneath the helicopter, it was difficult to determine the exact distance, so all detections within 0–60 metres were recorded as distance = 0.
This creates a problem, as it produces an artificial peak at distance = 0, which in turn affects the fit of the detection probability function. One possible solution is to bin the data, but since all distances beyond 60 metres are recorded exactly, I would prefer to avoid that if possible.
Is there an alternative approach to deal with this issue, other than binning?
Thank you beforehand!