by Robert Bradley » Sat Mar 01, 2008 10:58 pm
Oh yes......I must answer this one.
Yes, it is mathematically possible to predict a probability of detection for a search dog (and indeed people are working on it).
That said, it is extremely difficult to do so because of the multitude of factors that influence the effectiveness of a dog search.
Starting at the beginning, probability of detection is itself calculated from a number of factors.
Koopman stated that POD=1-e(to the power of -Coverage).
Coverage equals the area effectively swept over the actual area to be search.
Area effectively swept equals the distance travelled by the search resource(s) times by the sweep width for that search resource in that environment.
And it is here that the problem with a dog search team starts.
Sweep width is an empirically calculated figure that represents an "area" where 50% of all possible detections are detected. Hard to explain simply (and off the top of my head as the rules dictate) but essentially the area under the graph of possible detections at this distance is the same as outside . In order to calculate this distance sweep width experiments are undertaken and sweep width distances are calculated (along with factors which affect this - for aerial search these factors include speed, height, size of object being searched for and so on.)
It is the difficulty of calculating all these factors which is causing problems in calculating sweep width figures for search dogs. Imagine trying to quantify the difference an extra mph of wind makes to the detection ability of a search dog, or a gradient has, or the time of day etc. etc. etc.
So whilst it is mathematically possible to calculate this figure, it is a bit of a way off at the moment.
That answered, going further...
Attempts to subjectively predict POD have been proven not to be effective - in fact the research states that you might as well pull a figure from a hat. One assumes that the same holds for dog search.
In land field search at the moment, however, the Average Maximum Detection Range (AMDR) is being used to estimate sweep width in the field for the purposes of calculating POD. One possibility for dog search is to try to calculate an AMDR for a dog for the time and environment of the search and use this to predict POD (although this is very much an idea rather than theory, I must add!)
AMDR could perhaps be calculated by putting someone 50 metres or so off to one side, then walking a dog up and down parallel to them getting 5 metres closer at a time until the dog "detects" that person. (Some sort of dog equivalent to doing a Northumbrian Rain Dance) In this way POD could be estimated using dog AMDR, distance dog travelled, search AMDR, distance searcher travelled and so on.
Of course, the effectiveness of this couldn't be proven without experimentation.
Anyway, am I right?