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
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Identifier |
https://doi.org/10.7910/DVN/FEEHQX
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Creator |
Vallejo Arango, Eliana
Navarro Racines, Carlos E. Ramirez Villegas, Julian Aguilar Ariza, Andres Delerce, Sylvain Jean |
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Publisher |
Harvard Dataverse
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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).
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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 |
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Date |
2016
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Contributor |
Garcia, Carolina
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Type |
Interpolated Data
Aggregate Data Climate Data |
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