Modelling spatial patterns of distribution and abundance of mussel seed using STAR models

  1. Pata, María P.
  2. Rodríguez Álvarez, María Xosé
  3. Lustres Pérez, Vicente
  4. Fernández Pulpeiro, Eugenio
  5. Cadarso Suárez, Carmen María
Revista:
Sort: Statistics and Operations Research Transactions

ISSN: 1696-2281

Ano de publicación: 2010

Volume: 34

Número: 1

Páxinas: 67-78

Tipo: Artigo

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Outras publicacións en: Sort: Statistics and Operations Research Transactions

Resumo

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.

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