| dc.contributor.author | Nicolas, Gaëlle | en_US |
| dc.contributor.author | Robinson, Timothy P. | en_US |
| dc.contributor.author | Wint, G.R. William | en_US |
| dc.contributor.author | Conchedda, Giulia | en_US |
| dc.contributor.author | Cinardi, Giuseppina | en_US |
| dc.contributor.author | Gilbert, Marius | en_US |
| dc.date.accessioned | 2023-03-10T14:33:33Z | en_US |
| dc.date.available | 2023-03-10T14:33:33Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10568/129347 | en_US |
| dc.title | Using Random Forest to Improve the Downscaling of Global Livestock Census Data | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.available | 2016-03-15 | en_US |
| dcterms.bibliographicCitation | Nicolas, Gaëlle; Robinson, Timothy P.; Wint, G.R. William; Conchedda, Giulia; Cinardi, Giuseppina; Gilbert, Marius. 2016. Using Random Forest to Improve the Downscaling of Global Livestock Census Data. PLOS ONE 11: e0150424 | en_US |
| dcterms.extent | e0150424 | en_US |
| dcterms.issued | 2016-03-15 | en_US |
| dcterms.license | CC-BY-4.0 | en_US |
| dcterms.publisher | Public Library of Science (PLoS) | en_US |
| dcterms.subject | livestock | en_US |
| dcterms.subject | data | en_US |
| dcterms.type | Journal Article | en_US |
| cg.subject.ilri | LIVESTOCK | en_US |
| cg.subject.ilri | DATA | en_US |
| cg.contributor.affiliation | Food and Agriculture Organization of the United Nations | en_US |
| cg.contributor.affiliation | Fund for Scientific Research | en_US |
| cg.contributor.affiliation | International Livestock Research Institute | en_US |
| cg.contributor.affiliation | Université Libre de Bruxelles | en_US |
| cg.contributor.affiliation | University of Oxford | en_US |
| cg.identifier.doi | https://doi.org/10.1371/journal.pone.0150424 | en_US |
| cg.creator.identifier | Timothy Robinson: 0000-0002-4266-963X | en_US |
| cg.contributor.donor | Fund for Scientific Research | en_US |
| cg.journal | PLOS ONE | en_US |
| cg.issn | 1932-6203 | en_US |
| cg.volume | 11 | en_US |
| cg.issue | 3 | en_US |