ex_output_aggregate_risk_expert

This is an expert-based example output from the <code>aggregate_risk</code> function
applied to the <code>ex_output_risk_expert</code> demo data.

datasets

Implementation of a modular framework for ecosystem risk assessments,
combining existing risk assessment approaches tailored to semi-quantitative and
quantitative analyses.

Helene Gutte

ecorisk

Risk Assessments for Ecosystems or Ecosystem Components

Saskia A. Otto

ex_output_aggregate_risk_expert function

A list of three data frames.<dl>
<dt>multi_indicator_risk</dt>
<dd>A data frame with 30 rows and 5 columns, containing the
multi-indicator risk and uncertainty of each pressure per type and pathway.</dd><dt>multi_pressure_risk</dt>
<dd>A data frame with 24 rows and 5 columns, containing the
multi-pressure risk and uncertainty on each indicator per type and pathway.</dd><dt>ecosystem_risk</dt>
<dd>A data frame with 6 rows and 4 columns, containing the
aggregated ecosystem risk and uncertainty per type and pathway.</dd>
</dl>

Format

Example output from the aggregate_risk() function based on expert scores — ex_output_aggregate_risk_expert

A list of three data frames.<dl>
<dt>multi_indicator_risk</dt>
<dd>A data frame with 30 rows and 5 columns, containing the
multi-indicator risk and uncertainty of each pressure per type and pathway.</dd>

<dt>multi_pressure_risk</dt>
<dd>A data frame with 24 rows and 5 columns, containing the
multi-pressure risk and uncertainty on each indicator per type and pathway.</dd>

<dt>ecosystem_risk</dt>
<dd>A data frame with 6 rows and 4 columns, containing the
aggregated ecosystem risk and uncertainty per type and pathway.</dd>


</dl>

ex_output_aggregate_risk_expert: Example output from the `aggregate_risk()` function based on expert scores

Description

Usage

Arguments

Format