OptRunCI: Run Credible Intervals on GSO calcs (main GSO function)

In nevilamos/FAMEFMR: Functions For DELWP FAME Fire Analysis

Run Credible Intervals on GSO calcs (main GSO function)

Description

Run Credible Intervals on GSO calcs (main GSO function)

Usage

OptRunCI(
  data,
  efgs,
  Scen = GSOScen,
  area = GSOArea,
  rule = "Rule0",
  FiTy = "High",
  Weight = 0.5,
  NRep = 20,
  N = 10,
  Comp = Comparison
)

Arguments

data	data.frame, input data
efgs	efgs - from wider FAME?
Scen	data.frame, input scenarios
area	the GSO area - wider FAME?
rule	The chosen rule to apply expert opinion and observational data. Default 'Rule0'
FiTy	fire type string, used as a filter in 'FireType' column of data input. Default 'High'
Weight	rule weighting if a RUle 2 is to be used. Default 0.5
NRep	number of repetitions of bootstrapping, with replacement. Default 20
N	number of simulations
Comp	The comparison species.

Details

The main Growth Stage Optimisation (GSO) function.

The Geometric Mean ABundance (GMA) for an area can be calculated using the relative abundance of each species across Ecological Fire Group (EFG) Growth Stages (GS) weighted by the fraction of that GS in that EFG available in the area of interest. Then using non-linear optimisation, the optimal allocation of GSs within each EFG can be calculated, giving a single answer, based on the input from the observational data and expert opinion supplied. However, there is a level of uncertainty with this data that should be accounted for, as those inputs are only estimates. The uncertainty of the GSO is estimated using a bootstrapping process (repeated samples and calculating 95% CIs)

Value

returns a list.

nevilamos/FAMEFMR documentation built on April 17, 2025, 9:32 p.m.