Hi all,
I am trying to get my head around the following passage in the polygon detector vignette:
Although probability and cumulative hazard are mostly interchangeable for point detectors, it’s not so simple for polygon and transect detectors. The integration in equation 1 always uses the hazard form for h(u | x) (secr 3.0.0 and later), and only hazard-based detection functions are allowed (HHN, HHR, HEX, HAN, HCG). The default function is HHN.
I want to fit a model where the PDF of a cue's location is bivariate normal, centred on the activity centre. However, I'm struggling to figure out if this is what the default hazard halfnormal actually gives me, or what the non-hazard halfnormal would give me if secr let me use it.
For example, the hazard halfnormal detection function can have a long shoulder at 1 if lambda0 is large enough. So, if I use the hazard halfnormal here, is it the case that the PDF of a cue's location is not bivariate normal, but rather may have a circular, flat 'plateau' around the activity centre due to this shoulder? If secr did let me fit the non-hazard halfnormal detection function, how would this change the assumed PDF of a cue's location?
Many thanks,
Ben