Gibson, L.A., Wilson B.A., Cahill, D.M., and Hill, J. 2004. Spatial prediction of rufous bristlebird habitat in a coastal heathland: a GIS-based approach. Journal of Applied Ecology. 41:213-223.

Gibson et al. present a study of habitat prediction of the Australian endemic species, rufous bristlebird (Dasoyornis broadbentii caryochorous). The authors used Generalized Linear Modelling (GLM) techniques to generate habitat models. All variables (predictors) but bird data were obtained using GIS to process a 20-m Digital Elevation Model (DEM), and a Multispectral Digital Image (mosaic of videographic imagery).   Once they selected the proper model, it was implemented in the GIS using ArcView Spatial Analist. The authors transformed the predictors from logit scale to probability scale, thus a habitat-suitability model depicted the probability of the rufous bristlebird within any given pixel. Using GIS to obtain, manage, and depict data, shows its fundamental role on the spatial prediction of rufous bristlebird habitat.