SECR when sampling grids are larger than the HR

[Tashi Dhendup]

Hello Efford and others, 

I have data on individual captures and recaptures for a species from a scat survey and intend to estimate density. The grid size used to collect the scats was 4km x 4km, but the species has a home range of less than 5 sq km. I was going to use each grid as a detector.

Do you have any advice on this? 

I appreciate any help you can provide. 

Best,
Tashi

[Murray Efford]

Can you please clarify: a search for scats was conducted over a large area, and the only location data for each scat is the 4-km x 4-km grid square in which it was found? This doesn't seem to provide sufficient spatial resolution. But maybe I'm misunderstanding.

Murray

[Tashi Dhendup]

I'm sorry if this wasn't clear. We laid down 4km x 4km grids over the entire study area (over 100 grids) and scanned each grid for scats. We do have the location of each scat. 

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[Murray Efford]

If I'm understanding right then you can divide each 4-km square into say 4 2-km squares and treat each as a point (proximity) detector. That should give enough spatial resolution, but you also have the option of 1-km squares. Perhaps input the 4-km squares as polygon detectors and use secr::discretize?