# R_scripts_and_SimaPro_model_runs

## Description

The zip file contains the TXT output files from SimaPro Monte-Carlo-Simulations. The files are statistically analysed using R scripts which can be found in the other zip file in the folder.

## Files

## Steps to reproduce

The data can be reproduced by entering the values, accessible in the supplementary information for the manuscript "How and why to include uncertainties in quantitative sustainability assessments? – A case study on water footprint inventories of Danish pork", into an LCA modelling software (or in R if you build the matrices yourself). Be sure that you assign elementary flows (water sources) that enable that the varios production stages can be isolated from each other. Then Monte-Carlo Simulations (MCS) are run setting the seed value to 1234. Save the output and analyze it in a statistical software, by isolating and groupng the elementary flows and calculate descriptive statistics but most importantly prediction intervals. We used SimaPro for MCS and R for data analysis. SimaPro makes a TXT output. The R-scripts available are simple search functions using grep() in R and can be modified.