Replication Data for: The impact of climate change on coffee production in Central America
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This data is a series of maps of Central American countries that specify the agro-ecological distribution suitable for coffee cultivation and show the impact gradient by indicating the change of the suitable agro-ecological zones, with the purpose of helping increase the private sector engagement in Climate Smart Agriculture in the region and provide the coffee sector with knowledge needed to facilitate the adoption of CSA practices. The maps were done through a random forest model in which precipitation and temperature were used as drivers and the model was trained through presences and pseudo-absences' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Adaptation","Agriculture","Climate","Climate change","Coffee","Decision and Policy Analysis - DAPA","Food security","Latin America and the Caribbean","Sustainable Food System"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data is a series of maps of Central American countries that specify the agro-ecological distribution suitable for coffee cultivation and show the impact gradient by indicating the change of the suitable agro-ecological zones, with the purpose of helping increase the private sector engagement in Climate Smart Agriculture in the region and provide the coffee sector with knowledge needed to facilitate the adoption of CSA practices. The maps were done through a random forest model in which precipitation and temperature were used as drivers and the model was trained through presences and pseudo-absences' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data is a series of maps of Central American countries that specify the agro-ecological distribution suitable for coffee cultivation and show the impact gradient by indicating the change of the suitable agro-ecological zones, with the purpose of helping increase the private sector engagement in Climate Smart Agriculture in the region and provide the coffee sector with knowledge needed to facilitate the adoption of CSA practices. The maps were done through a random forest model in which precipitation and temperature were used as drivers and the model was trained through presences and pseudo-absences
Adaptation; Agriculture; Climate; Climate change; Coffee; Decision and Policy Analysis - DAPA; Food security; Latin America and the Caribbean; Sustainable Food System