Package: ecorisk 0.3.1.9000

Helene Gutte

ecorisk: Risk Assessments for Ecosystems or Ecosystem Components

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

Authors:Helene Gutte [aut, cre, cph], Saskia A. Otto [aut]

ecorisk_0.3.1.9000.tar.gz
ecorisk_0.3.1.9000.zip(r-4.7-any)ecorisk_0.3.1.9000.zip(r-4.6-any)ecorisk_0.3.1.9000.zip(r-4.5-any)
ecorisk_0.3.1.9000.tgz(r-4.6-any)ecorisk_0.3.1.9000.tgz(r-4.5-any)
ecorisk_0.3.1.9000.tar.gz(r-4.7-any)ecorisk_0.3.1.9000.tar.gz(r-4.6-any)
ecorisk_0.3.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ecorisk/json (API)

# Install 'ecorisk' in R:

install.packages('ecorisk', repos = c('https://helenegutte.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/helenegutte/ecorisk/issues

Pkgdown/docs site:https://helenegutte.github.io

Datasets:

ex_expert_exposure - Expert-based exposure scores for five pressures
ex_expert_sensitivity - Expert-based sensitivity and adaptive capacity scores for four indicators and five pressures
ex_expert_status - Expert-based status scores for four indicators
ex_output_aggregate_risk_expert - Example output from the 'aggregate_risk()' function based on expert scores
ex_output_aggregate_risk_model - Example output from the 'aggregate_risk()' function based on modelled scores
ex_output_calc_exposure - Example output from the 'calc_exposure()' function
ex_output_calc_sensitivity - Example output from the 'calc_sensitivity()' function
ex_output_model_exposure - Example output from the 'model_exposure()' function based on time series
ex_output_model_sensitivity - Example output from the 'model_sensitivity()' function based on time series
ex_output_risk_expert - Example output from the 'risk()' function based on expert scores
ex_output_risk_model - Example output from the 'aggregate_risk()' function based on modelled scores
ex_output_status - Example output from the 'status()' function
ex_output_vulnerability_expert - Example output from the 'vulnerability()' function based on expert scores
ex_output_vulnerability_model - Example output from the 'vulnerability()' function based on modelled scores
indicator_ts_baltic - Baltic Sea indicator time series
pressure_ts_baltic - Baltic Sea pressure time series
pressure_ts_northsea - North Sea pressure time series

On CRAN:

4.70 score 2 stars 7 scripts 307 downloads 13 exports 37 dependencies

Last updated from:6dc680f179. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	194
source / vignettes	OK	482
linux-release	OK	229
macos-release	OK	197
macos-oldrel	OK	183
windows-devel	OK	130
windows-release	OK	127
windows-oldrel	OK	98
wasm-release	OK	170

Exports:aggregate_risk calc_exposure calc_sensitivity create_template_exposure create_template_sensitivity model_exposure model_sensitivity plot_diagnostic_sensitivity plot_heatmap plot_radar risk status vulnerability

Dependencies:cli colorspace cpp11 farver forecast fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lmtest magrittr Matrix mgcv nlme nnet pillar pkgconfig R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales tibble timeDate urca utf8 vctrs viridisLite withr zoo

ecorisk

Rendered fromecorisk.Rmdusingknitr::rmarkdown

Last update: 2026-04-29
Started: 2025-04-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Compute High-Complexity Multi-Risk Scores and (Eco)system Risk	aggregate_risk
Calculate Overall Exposure Scores from Component-Specific Expert Ratings	calc_exposure
Calculate Overall Sensitivity and Adaptive Capacity Scores from Trait-Specific Expert Ratings	calc_sensitivity
Create a Template for Expert-Based Exposure Scoring	create_template_exposure
Create a Template for Expert-Based Sensitivity and Adaptive Capacity Scoring	create_template_sensitivity
Expert-based exposure scores for five pressures	ex_expert_exposure
Expert-based sensitivity and adaptive capacity scores for four indicators and five pressures	ex_expert_sensitivity
Expert-based status scores for four indicators	ex_expert_status
Example output from the 'aggregate_risk()' function based on expert scores	ex_output_aggregate_risk_expert
Example output from the 'aggregate_risk()' function based on modelled scores	ex_output_aggregate_risk_model
Example output from the 'calc_exposure()' function	ex_output_calc_exposure
Example output from the 'calc_sensitivity()' function	ex_output_calc_sensitivity
Example output from the 'model_exposure()' function based on time series	ex_output_model_exposure
Example output from the 'model_sensitivity()' function based on time series	ex_output_model_sensitivity
Example output from the 'risk()' function based on expert scores	ex_output_risk_expert
Example output from the 'aggregate_risk()' function based on modelled scores	ex_output_risk_model
Example output from the 'status()' function	ex_output_status
Example output from the 'vulnerability()' function based on expert scores	ex_output_vulnerability_expert
Example output from the 'vulnerability()' function based on modelled scores	ex_output_vulnerability_model
Baltic Sea indicator time series	indicator_ts_baltic
Model Overall Exposure Scores Using Time Series Data	model_exposure
Model Overall Sensitivity Scores Using Time Series Data	model_sensitivity
Produce Diagnostic Plots for the	plot_diagnostic_sensitivity
Generate a Heatmap Overview of Individual Risk Scores, Aggregated Risk Scores, and Overall Ecosystem Risk	plot_heatmap
Generate Radar Charts Displaying Pressure-Specific and Overall Risks for Each State Indicator	plot_radar
Baltic Sea pressure time series	pressure_ts_baltic
North Sea pressure time series	pressure_ts_northsea
Calculate Risk Scores Using Expert-Based or Model-Derived Vulnerability and Status Scores	risk
Compute Status Scores from Time Series Data	status
Calculate Vulnerability Scores Using Expert-Based or Model-Derived Overall Exposure and Sensitivity (Including Adaptive Capacity) Scores	vulnerability