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Welcome to {mocaredd} v1.0!

Monte Carlo Simulations for REDD+ uncertainty analysis (mocaredd) is a free and opensource application that aims at making simulation-based uncertainty calculations for REDD+ easier to process, report and verify.

It works by combining the strengths of spreadsheet tools (XLSX) for templating and a statistical language (R) for running the simulations, aggregating results and producing helpful visuals.

What for?

In the context of the REDD+ mechanism (Reducing emission from Deforestation and forest Degradation “plus”), countries can receive result-based payments for emission reductions and removal increases of greenhouse gas (GHG) from the forestry sector. Emission reductions are estimated by quantifying the amount of greenhouse gas emissions between a reference level (i.e baseline) and a monitorig period. These estimates come with a level of uncertainty due to the sampling methods and models used to generate the estimations.

High integrity REDD+ standards, that set rules for the quantification of emissions and removals, and their uncertainties, increasingly require the use of Monte Carlo simulations for REDD+ uncertainties. These simulations are often run in spreadsheet tools, but the lack of structure and inherent disadvantage of spreadsheets for this task (error prone, difficulty to handle large amount of data) is becoming a barrier for the quality, reproducibility and verification of uncertainties based on simulations.

{mocaredd} provides a template for organizing data, and a tool that takes the data, runs Monte Carlo Simulations and produces improved estimates of and confidence intervals around greenhouse gas emissions and emission reductions from the forestry sector (REDD+).

How to run the application ?

Online app

The application is available online (read-to-use) at:

offline / local installation

It can also be installed for offline use (require installing R and Rstudio, may require administrator permission). The app require R version 3.4 minimum. RStudio is recommended as Integrated Development Environment. With Windows machines, Rtools should also be installed:

R and Rstudio are installed, open R studio and run the folloing code in the terminal:

if (!require(remotes)) install.packages("remotes")
if (!require(mocaredd)) remotes::install_github("openforis/mocaredd@v1.0")

mocaredd::shiny_run_mocaredd()

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