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Predicted spatial variation in the spatial maize price (USD kg−1) in Sub-Saharan Africa. The predictions where made with a Random Forest model using annual precipitation, and estimated travel time to the nearest town with 20,000 to 50,000 inhabitants, 200,000 to 250,000 inhabitants, and 1 to 5 million inhabitants as predictor variables. Predictions were made for countries in SSA for which we had price data from local markets, excluding areas with annual precipitation lower than 200 mm.
