2. Structure of the FABLE Calculator and conventions (original) (raw)

The current version of the FABLE Calculator is a light Excel file (less than 6 MB) that contains country or regional historical data in the grey “DATA” sheets, the calculation formulas for the calculation in the green “CALCULATION” sheets, the definition and selection of scenarios in the light red “SCENARIOS” sheets, and the visualization of the main results in the yellow “INDICATORS” sheets (Figure 1).

The worksheet called “CHANGE LOG” is used to document the changes which are made to the Calculator over time by one or different users. This is useful for the user to avoid forgetting what has changed and, in the case of multiple people working with the same Calculator, to ensure that all users know which changes have been made. We recommend that the FABLE Calculator be saved under a different version name after a change or a series of changes have been implemented.

Figure 1. Overview of the FABLE Calculator Excel workbook

Figure 1. Overview of the FABLE Calculator Excel workbook

Each worksheet usually contains several tables. Each table is formatted as an Excel object called “Table” (Figure 2). This feature makes it possible to:

Figure 2. Format as table in Excel

Figure 2. Format as table in Excel

Each table uses the following conventions summarized in Figure 3:

Figure 3. Information displayed in each table

Figure 3. Information displayed in each table

Figure 4. Legend for table columns

Figure 4. Legend for table columns

We define a pathway as a combination of scenarios that represents the coherent development of a system along a certain trajectory. Scenarios are the suite of possible actions that set a pathway on a certain trajectory. Assumptions are the conditions that a modeler establishes before the model is run to make predictions on, for example, causality chains and changes in specific parameters of the model according to the selected scenarios. A parameter is a constant in model simulations except when it is changed for a specific scenario (i.e. the modeler decides on its value before running the model) - this is an input of the model. A variable represents a model state and results from the model’s computations (i.e. the modeler does not decide on its value before the model is run) - this is an outcome of the model.

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