Resumen de Modelling spatial patterns of distribution and abundance of mussel seed using STAR models
María P. Pata, María Xosé Rodríguez Álvarez, Vicente Lustres Pérez, Eugenio Fernández Pulpeiro, Carmen María Cadarso Suárez 
As mussel farming depends on sources of natural mussel seed, knowledge of factors is required to regulate both the spatial distribution and abundance of this resource. These spatial patterns were modelled using Bayesian STructured Additive Regression (STAR) models for categorical data, based on a mixed-model representation. We used Bayesian penalized splines for modelling the continuous covariate effects and a Markov random ?eld prior for estimating the spatial effects.
