MonteCarlo simulations for estimating the uncertainty of REDD+ greenhouse gas emissions and removals from forest changes.
Workflow:
- Input Monte Carlo model input variables and their characteristics (or raw data and aggregation factors, see v2.0 roadmap)
- Chose number of repetitions
- Choose or add custom formulas between input variables.
- Run Simulations
The app simulate the desired number of repetitions and calculate uncertainty of calculated variables.
Template
input_category / input_name / input_error_type / input_distribution / fixed_value / normal_mu / normal_sigma / others
Input options
Option 1: Input a list of variables and their distribution characteristics:
Ex.
var 1 / normal / mu / sigma / var 2 / normal / mu / sigma / var 3 / fixed / mu / 0 /