I am working on a project studying pinniped habitat use in the Eastern US. We set up camera traps across the haul-out areas, set to take 4 images per hour. If a seal was on a haul out site for an hour, then it would be captured 4 times per hour, likewise if there were 4 seals that were on the haul-out site for 8 hours, then there was a total count of 128 seals. This poses an issue for the presentation of the data for the report as there would be a very large number of total seals counted (e.g. 4 seals X 4 photos X 8 hours = 128). So four seals becomes 128 total counted, which is not representative to the actual number of seals in the area.
We are trying to determine a better way to normalize this data for presentation as we are not sure modeling density or abundance is possible given the cameras are not set up randomly, but are placed according to where the seals haul-out. We have tried dividing the total number of seals counted by the total number of images, but that just results in small decimals which does not show us much.
Does anyone have any advice on how else to normalize the data? We appreciate any input.