Skip to contents

The window availability() needs, for an observer looking through a side window of an aircraft: a field of view running forward and aft, rather than a circular patch.

Usage

view_window_aerial(trackline, speed, angle = NULL, slope = NULL, distance = 0)

Arguments

trackline

Time in view at the trackline, in seconds — \(\alpha\).

speed

Ground speed, in metres per second.

angle

Viewing half-angle forward and aft, in degrees from perpendicular. Give this or slope, not both.

slope

Seconds of view gained per metre of perpendicular distance, \(\tan\theta / v\), if it was calibrated directly. Give this or angle.

distance

Perpendicular distance, in metres.

Value

A numeric vector of window durations in seconds.

Why this grows with distance

The field of view is an angular wedge. An animal further off the trackline sits inside that wedge for longer, because the wedge is wider out there. This is the opposite of view_window()'s circular geometry, and it is the case that applies to a line-transect aerial survey.

Following Ganley et al. (2019), for a time in view \(\alpha\) at the trackline, a viewing half-angle \(\theta\) forward and aft, and ground speed \(v\):

$$t(x) = \alpha + \frac{x \tan\theta}{v}$$

Calibrating it, rather than deriving it

Ganley et al. (2019) obtained \(\alpha\) and \(\theta\) by flying transects past a navigation buoy and timing it through the field of view, which is worth far more than a derivation from window dimensions. For the Cessna Skymaster over Cape Cod Bay, at 185 km/h and 228 or 304 m altitude, they found time in view at the effective trackline to be 51.22 s, and a slope of about 0.03 s per metre of perpendicular distance. Altitude made no detectable difference across the two they flew.

Their trackline is at 100 m rather than 0 m, because the aircraft's flat windows leave a blind spot directly beneath it — the same blind spot that sweep_models(left = ) and the gamma key handle at the fitting end. Their surveys were left-truncated at 100 m for exactly that reason.

References

Ganley, L.C., Brault, S. and Mayo, C.A. (2019) What we see is not what there is: estimating North Atlantic right whale Eubalaena glacialis local abundance. Endangered Species Research 38:101-113. doi:10.3354/esr00938

Examples

# Ganley et al.'s Skymaster, calibrated directly: 51.22 s at the trackline,
# gaining about 0.03 s per metre out
view_window_aerial(trackline = 51.22, speed = 51.4, slope = 0.03,
                   distance = c(0, 1000, 3000))
#> [1]  51.22  81.22 141.22

# The same thing from a viewing half-angle
view_window_aerial(trackline = 51.22, speed = 51.4, angle = 57,
                   distance = c(0, 1000, 3000))
#> [1]  51.22000  81.17846 141.09539