Using Random Forest to improve the downscaling of global livestock census data

PLoS ONE

Volumn 11, Issue 3, 2016, Pages

  Nicolas, Gaëlle ^a,b   Robinson, Timothy P ^c   Wint, G R William ^d   Conchedda, Giulia ^e   Cinardi, Giuseppina ^e   Gilbert, Marius ^a,b  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b FNRS   (Belgium)

^c INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; ASIA; CHICKEN; DISEASE MODEL; HUMAN; HUMAN TISSUE; HUMAN VERSUS ANIMAL COMPARISON; LIVESTOCK; MODEL; POPULATION MODEL; PREDICTION; RANDOM FOREST; SPECIES; ANIMAL; FACTUAL DATABASE; THEORETICAL MODEL;

ANIMALS; DATABASES, FACTUAL; LIVESTOCK; MODELS, THEORETICAL;

EID: 84961613483     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0150424     Document Type: Article

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