Record Details

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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title 500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia
 
Identifier https://doi.org/10.7910/DVN/FEEHQX
 
Creator Vallejo Arango, Eliana
Navarro Racines, Carlos E.
Ramirez Villegas, Julian
Aguilar Ariza, Andres
Delerce, Sylvain Jean
 
Publisher Harvard Dataverse
 
Description 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).
 
Subject Agricultural Sciences
Earth and Environmental Sciences
Suitability
Coffee
Species distribution model
Machine learning
Regression based approaches
Risaralda
Latin America and the Caribbean
Decision and Policy Analysis - DAPA
 
Date 2016
 
Contributor Garcia, Carolina
 
Type Interpolated Data
Aggregate Data
Climate Data