Using Random Forest to Improve the Downscaling of Global Livestock Census Data.

Nicolas, Gaëlle; Robinson, Timothy P; Wint, G R William; Conchedda, Giulia; Cinardi, Giuseppina; Gilbert, Marius

Nicolas, Gaëlle; Robinson, Timothy P; Wint, G R William; Conchedda, Giulia; Cinardi, Giuseppina; Gilbert, Marius.

Afiliação

Nicolas G; Biological Control and Spatial Ecology, Université Libre de Bruxelles, Brussels, Belgium.
Robinson TP; Fonds National de la Recherche Scientifique, Brussels, Belgium.
Wint GR; International Livestock Research Institute (ILRI), Livestock Systems and Environment (LSE), Nairobi, Kenya.
Conchedda G; Environmental Research Group Oxford (ERGO) - Department of Zoology, University of Oxford, Oxford, United Kingdom.
Cinardi G; Animal Production and Health Division (AGA), Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
Gilbert M; Animal Production and Health Division (AGA), Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.

PLoS One ; 11(3): e0150424, 2016.

Article em En | MEDLINE | ID: mdl-26977807

Assuntos

Bases de Dados Factuais; Gado; Modelos Teóricos; Animais

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados Factuais / Gado / Modelos Teóricos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Bélgica

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