Supplementary_Ruett_2020

This repository contains files that contribute to our supplementary materials of the Manuscript: 'Model-based evaluation of management options in ornamental plant nurseries' by Marius Ruett, Cory Whitney, and Eike Luedeling (2020) (https://doi.org/10.1016/j.jclepro.2020.122653). Within this repository we provide all necessary files to comprehend procedure of code calculations. We illustrate our code for data visualization that enables reproductivity of our figures. Code chunks can be used or optimized for own illustrations based on decisionSupport outcomes.

Model-based evaluation of management options in ornamental plant nurseries

Decision Analysis in ornamental plant nurseries enables assessment of management options concerning fungal disease regulation. Implementation of management options in ornamental plant nurseries need to be accompanied by maintaining economic viability, determination of systems' uncertainties and factors that influence possible outcome distributions. Results of this approach facilitate decision support for heather producers that seek to implement novel management practices but are exposed to the risky nature of heather production. In addition, recommendations can be made to identify risks before making new decisions.

File descriptions

The Input table

Our input table Input_file.csv contains all expert estimates that are used in our Calluna_Simulation function.

The Legend file

Our legend file Legend_file.csv contains all variable descriptions that we use in our code.

The Code

The_Model.R contains our full code to run the model and to create all figures.

The R project

Supplementary_Ruett_2020.Rproj is where we stored our R project.

The RMarkdown file

The_R_Markdown.Rmd contains our RMarkdown file as basis of our Supplementary materials.

The html file

Our RMarkdown file The_R_Markdown.Rmd generates the html file The_R_Markdown.html that represents our Supplementary materials.

Bibfile and citation style

We apply journal-of-cleaner-production.csl as a citation style for our Manuscript and Supplementary materials. All citations are stored in the biblibrary.bib file.

Folder descriptions

EVPI_tables_low_prophy

EVPI csv-files are stored there for further data visualization.

Results_low_prophy

Probability distributions are generated by Monte Carlo outcome and stored in csv files.