Osborne, P.E., Alonso, J.C., and Bryant, R.G. 2001. Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. Journal of Applied Ecology. 38:458-471.

        In their study, Osborne et al (2001), presents the results of their pilot study, modeling the breeding distribution of great bustards in central Spain. To model the breeding habitat, the authors obtained 10 variables from remotely sensed data (AVHRR) and digitally mapped data layers. If data was not rasterized, they use IDRISI to do it. The bird data was obtained from a bird census. They used a logistic regression, including an autologistec term (a moving window of 9x9 cells was used to calculate the probabilities of the 80 neighboring cells, weighted by Euclidian distance)to account for spatial autocorrelation. They found out that the distribution of the bustards is very fragmented, including vacant patches. Authors conclude that models that utilize coarse-grained data (AVHRR) are useful as a first step, but for fine scale modeling adding GIS data such as: terrain and human influence (roads and buildings) is necessary.