  We propose a generalization of Zhang's coefficient of determination to
generalized linear geostatistical models and illustrate its application to
river-blindness mapping. The generalized coefficient of determination has a
more intuitive interpretation than other measures of predictive performance and
allows to assess the individual contribution of each explanatory variable and
the random effects to spatial prediction. The developed methodology is also
more widely applicable to any generalized linear mixed model.
