Other land cover variables such as the share of impervious surfaces and clay roofs, which appear highly significant in cities like Medellin [ 7 ], do not show significant predictive power in our analysis.
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Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning.
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