Imagen de Portada
Código QR

500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia

We used 500m gridded historical and future climate surfaces for Risaralda, Colombia and coffee presences and absences to train species distribution models (suitability). Five methods were used: Generalized Boosting Model (GBM) (Friedman, 2001), Random Forest (RF) (Breiman, 2001), Maxent (Phillips et...

Descripción completa

Autores principales: Vallejo Arango, Eliana, Navarro Racines, Carlos Eduardo, Ramírez Villegas, Julián Armando, Aguilar-Ariza, Andrés, Delerce, Sylvain Jean
Formato: Conjunto de datos
Lenguaje:Inglés
Publicado: 2017
Materias:
suitability
coffee
machine learning
climate change
agriculture
Acceso en línea:https://hdl.handle.net/10568/89764
Sumario:We used 500m gridded historical and future climate surfaces for Risaralda, Colombia and coffee presences and absences to train species distribution models (suitability). Five methods were used: Generalized Boosting Model (GBM) (Friedman, 2001), Random Forest (RF) (Breiman, 2001), Maxent (Phillips et al., 2006), Generalized Linear Model (GLM) and Generalized Additive Model (GAM) (Guisan et al., 2002).

Ejemplares similares