My dataset consists of maps of deforestation in Chile (in GIS), and I want to analyse whether distance from roads, soil type, altitude etc are important determinants of deforestation rate.  I had hoped to do this using GLS models, to handle spatial autocorrelation, but I have only been able to find code which handles normally distributed data, whereas I have binary data (deforested Y or N).

Please, has anyone written code for GLS modelling with a binary response variable?

Thanks

Cristian Echeverria

Graduate Student
Conservation & Community Ecology Group
Department of Plant Sciences
University of Cambridge

Downing Street
Downing Site
Cambridge
CB2 3EA
UK
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