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Where, I a is the standardized value of each indicator.
From [Z ij ] the optimal value of each indicator was identified.
Numerical uncertainty refers to uncertainty about the observed value of each indicator, which includes natural variability and observation uncertainty.
The value of each indicator is scaled relative to a reference state, i.e., a predicted value assessed by each expert for a hypothetical undisturbed or sustainably managed ecosystem.
In practice, the expected value of an indicator in a reference state is used to scale the observed (or estimated) value of each indicator, thereby ensuring that all scaled indicator values are directly comparable.
To aggregate this knowledge, the value of each indicator is scaled relative to a reference state, i.e., an expected value assessed by each expert for a hypothetical undisturbed or sustainably managed ecosystem.
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The values of each indicator per landscape unit were obtained from empirical data and bibliographic sources.
Regarding the effect (β coefficient) and significance (p-value) of each indicator on SMR (Fig. 8), three simple linear regressions were carried out as we expected high multicollinearity between income indicators.
Mean values of each indicator over all measurements for each month were used to represent the value of that parameter over the entire lake.
We calculated the average values of the environmental condition indicators over the 15 min of each experimental session, and compared the values of each indicator between May and October using paired t-tests.
The indicators used in this evaluation have different characteristics and units, and transformation functions should be used to standardize the gross values of each indicator, transforming them into commensurable risk factors, taking a value between 0.0 and 1.0.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com