Using machine learning to model nontraditional spatial dependence in occupancy data

The file 'Serengeti.csv' includes Thomson’s gazelle data used in our study. The original data file is obtained from Hepler et al. (2018), who reported the presence and absence of Thomson’s gazelle at 195 sites within Serengeti National Park, Tanzania. The sites were sampled using a network of 179 motion-sensitive and thermally activated cameras. The file 'Sugarglider.csv' includes sugar glider data that is used in our study. The original data file is obtained from Stojanovic (2019), who reported the presence and absence of sugar gliders. The data were collected during four or five site visits made to 100 sites in the Southern Forest region of Tasmania. The zip file 'Serengeti.zip' includes the associated shapefile for the sampling grid in Serengeti National Park, Tanzania where Thomson’s gazelle data were collected. The zip file 'Sugarglider.zip' includes the associated shapefile for the Southern Forest region of Tasmania where the sugar glider data were collected.