Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)

Predicting taxonomic classes can be challenging with dataset subject to substantial irregularities due to the involvement of many surveyors. A data pruning approach was used in the present study to reduce such source errors by exploring whether different data pruning methods, which result in differe...

Descripción completa

Detalles Bibliográficos
Autores principales: Hounkpatin, Kpade O. L., Schmidt, Karsten, Stumpf, Felix, Forkuor, Gerald, Behrens, Thorsten, Scholten, Thomas, Amelung, Wulf, Welp, Gerhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028482/
https://www.ncbi.nlm.nih.gov/pubmed/29967391
http://dx.doi.org/10.1038/s41598-018-28244-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028482/
https://www.ncbi.nlm.nih.gov/pubmed/29967391
http://dx.doi.org/10.1038/s41598-018-28244-w

Ejemplares similares