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DRAFT: README.md overhaul #236

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DRAFT: README.md overhaul #236

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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -5,10 +5,10 @@

# DSCIM: The Data-driven Spatial Climate Impact Model

This Python library enables the calculation of sector-specific partial social cost of greenhouse gases (SC-GHG) and SCGHGs that are combined across sectors using a variety of valuation methods and assumptions. The main purpose of this
This Python library enables the calculation of sector-specific partial social cost of greenhouse gases (SC-GHG) and SC-GHGs that are combined across sectors using a variety of valuation methods and assumptions. The main purpose of this
library is to parse the monetized spatial damages from different sectors and integrate them
using different options ("menu options") that encompass different decisions, such as
discount levels, discount strategies, and different considerations related to
discount levels, discount strategies, and different considerations related to valuing
economic and climate uncertainty.

## Installation
Expand Down Expand Up @@ -63,10 +63,10 @@ SubGraph1Flow(Storage and I/O)
end

subgraph "Recipe Book"
A[StackedDamages] --> B[MainMenu]
B[MainMenu] --> C[AddingUpRecipe];
B[MainMenu] --> D[RiskAversionRecipe];
B[MainMenu] --> E[EquityRecipe]
A[StackedDamages] --> B[MainRecipe]
B[MainRecipe] --> C[Baseline];
B[MainRecipe] --> D[RiskAversionRecipe];
B[MainRecipe] --> E[EquityRecipe]
end
```

Expand All @@ -84,7 +84,7 @@ Class | Function


and these elements can be used for the menu options:
- `AddingUpRecipe`: Adding up all damages and collapse them to calculate a general SCC without valuing uncertainty.
- `Baseline`: Adding up all damages and collapse them to calculate SC-GHGs without valuing climate or economic uncertainty.
- `RiskAversionRecipe`: Add risk aversion certainty equivalent to consumption calculations - Value uncertainty over econometric and climate draws.
- `EquityRecipe`: Add risk aversion and equity to the consumption calculations. Equity includes taking a certainty equivalent over spatial impact regions.

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