ex_output_model_sensitivity {ecorisk} | R Documentation |
Example output from the model_sensitivity()
function based on time series
Description
This dataset provides example output from the model_sensitivity
function, with sensitivity scores and associated uncertainties for each
indicator-pressure combination. Scores are based on time series data from
pressure_ts_baltic
and indicator_ts_baltic
.
Usage
ex_output_model_sensitivity
Format
A data frame with 16 observations and 12 variables.
- indicator
Names of the assessed indicator.
- pressure
Names of the assessed pressure.
- type
Type of effect (always direct + indirect for modelling pathway).
- pathway
Pathway used to assess sensitivity.
- sensitivity
Overall sensitivity score (-5 to 5).
- adaptive_capacity
Adaptive capacity score (default is 0).
- uncertainty_sens
Uncertainty score associated with sensitivity assessment (1 to 3).
- uncertainty_ac
Uncertainty score associated with adaptive capacity (1 to 3).
- r_sq
R-squared values from the GAM model, used for scoring.
- p_value
P-values from the GAM model, determining statistical significance.
- edf
Effective degrees of freedom from the GAM model, used to adjust scores based on non-linearity risk.
- uncertainty_gam
Uncertainty score for sensitivity based on predicted values from a GAM.
- uncertainty_arima
Uncertainty score for sensitivity based on predicted values from an ARIMA using the pressure variable as external predictor.