摘要：Many ecological processes are measured as proportions and are spatially sampled.
In all these cases the standard procedure has long been the transformation of proportional
data with the arcsine square root or logit transformation, without considering
the spatial correlation in any way. This paper presents a robust regression model to
analyse this kind of data using a beta regression and including a spatially correlated
term within the Bayesian framework. As a practical example, we apply the proposed
approach to a spatio-temporally sampled fishery discard dataset.
