Update README.md

README.md

@@ -12,8 +12,11 @@ The model expects the following information as inputs, for a 100x100 meter area:
 -Treatment variable (T) - optional: Percentage of tree canopy coverage
 
 The model can be used in two ways:
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 **Method 1**: A simulation of tree coverage (in % - T1) is fed into the model, alongside the original tree coverage (in % - T0) and the rest of the confounding variables (X). The model then provides an output for each area that corresponds to the estimation of the effect on temperature for that tree coverage change.
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 **Method 2**: The confounding variables (X) are fed into the model. The model then provides an output for each area that corresponds to expected temperature change per unit change (in %pt) in tree cover.
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 The model was trained on raster data (satellite and orthophoto) of the city of Guatemala.
 The goal is to understand how increasing tree coverage could help reduce the temperature in the city.