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.


[Package ecorisk version 0.1.1 Index]