In a previous SEEC Stats Toolbox Seminar we introduced occupancy models, which allow one to model the distribution and spread of species using distribution data that have imperfect detectability of a species.

In this seminar, Allan Clark introduces spatial occupancy models, which allow one to account for spatial correlation among neighbouring observations. We expect to find spatial correlation in species distribution data, because if a species is observed in one locality, it is highly likely that it can also be found at a neighbouring location, but less likely to occur further away simply because of the dispersal capabilities of any given species.

To learn more you can get the lecture slides, script and R data here.