Dear Ryan E. Forbes , you can calculate the percentage of images showing each behaviour (for instance, foraging, running, walking, resting, etc...). Even if the speed of foraging or running is different between species, an interspecific comparison would still be useful to understand which species dedicates a higher proportion of time to foraging or non-foraging activities. You would compare activity patterns, not absolute speed of movement.

Hi Ryan,

I think you should divide the pictures on the minimal scale that you have and group them around that. for instance, if you have hourly sequences of individual animals (same) you might be able to see which is the most preferable activity for each species a certain hours. You might the information by periods of the day, dawn, dust, midday or crepuscular, etc.,

by doing this analysis you might be able to see when the groups of animals were more active, with a error of course, but I think confident that you can use statistical analysis to calculate it.

Point sampling and period occurrence may be useful in this study. (Broom, 1968)

Dear Ryan,

Yes. it is possible. You can use the package Overlap to determine patterns in diel activity in any species. However, the increased effort of trap-nights and number of detection (of your targeted species) will produce more reliable results.

Both Overlap and Activity methods in R might be useful here. Producing a simple overlap figure from all time active for both species would give a high level view of which animal is more active, as per Muntasir Akash . Classifying/tagging your images by a specific action (such as foraging) and then producing activity estimates using Rowcliffe et al.'s 2014 method for the particular action for each species might then add the interesting insight of percentage of activity in a day spent on said activity.

To model diel activity you might also use a conservative approach only scoring presence/absence per hour block, using logistic regression with cosine curve fitting (the cosinor-method).