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This repository contains machine learning models for estimating cropland types (irrigated, non-irrigated, no crop) to assess climate change impact on agricultural land suitability across various carbon emission scenarios.
R code and data for structural equation models and boosted regression trees to estimate relationships between environmental degradation and socio-economic variables among African nations