Dataset

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

author(s)

Vallejo Arango, Eliana

regions
  • Colombia
original file download
full citation

Vallejo-Arango, Eliana ; Navarro-Racines, Carlos E.; Ramirez-Villegas, Julian; Aguilar-Ariza, Andres; Delerce, Sylvain Jean, 2017, "500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia", doi:10.7910/DVN/FEEHQX, Harvard Dataverse, V1

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).