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Spatio-temporal modelling of coffee berry borer infestation patterns accounting for inflation of zeroes and missing values Scientia Agricola
Ruiz-Cárdenas,Ramiro; Assunção,Renato Martins; Demétrio,Clarice Garcia Borges.
The study of pest distributions in space and time in agricultural systems provides important information for the optimization of integrated pest management programs and for the planning of experiments. Two statistical problems commonly associated to the space-time modelling of data that hinder its implementation are the excess of zero counts and the presence of missing values due to the adopted sampling scheme. These problems are considered in the present article. Data of coffee berry borer infestation collected under Colombian field conditions are used to study the spatio-temporal evolution of the pest infestation. The dispersion of the pest starting from initial focuses of infestation was modelled considering linear and quadratic infestation growth...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Markov chain Monte Carlo methods; Risk maps; Mixture model; Zero inflated model; Multiple imputation.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100014
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