I'm little bit confused about how to set up the data for the spatial correlation model in program presence. I have read Hines et al., 2010 paper on the spatial correlation model and have searched on this forum, but I am obviously missing some important piece of information that everyone else seems to know about.
About my study: I had 7 transects ranging from 1.5-2.5 km along which I searched for sign at three different times (No. Occ/season = 3). I also measured vegetation characteristics along each transect. The transects were broken up into 30 m sections (each 30 m section is a site in the data form). This seems like a case for the spatial correlation model.
Question: Are each of my transect segments (in the spatial correlation model) actually an Occassion and I can only use information from 1 of my actual visits?
So if I had 50 transect sections I would have 50 occ/season?
Question: If the answear to the above question is no...then how do I input my data so the program knows which segments are adjacent to each other?
Question: Does theta refer to the probability that a segment is occupied conditional on whether the adjacent segment is occupied or does it refer to the probability of detection on a segment if the species was detected on an adjacent segment? In other words, does theta modify occupancy or detection probability?
Thanks in advance for your help!