| budget.ie | R Documentation |
Use several MC methods to estimate the uncertainty associated with the interpolation of fluxes between models when preparing time series data for budgeting R_eco, GPP (and finally NEE) with budget.reco and budget.gpp.
budget.ie(bdgt, method = "leave out", lo = 2, it = 100)
bdgt |
An object deriving from running |
method |
Specify how interpolation error should be estimated. Available methods include |
lo |
When estimating interpolation error with |
it |
How many iterations should be run? Defaults to 100. Not effective for methods |
ATTENTION: It takes a while. How long one budget run takes depends on the length of the bdgt but typically takes about 5 seconds. So if you run with defaults (it = 100) it may take some minutes. Progress is shown in the console with numbers representing the runs separated by colons.
The approaches are quite similar to the ones in auc.mc. However, the function randomly samples from a list of models and then runs the complete budgeting via budget.reco or budget.gpp. This is done either it times or as often as needed to get all combinations that are possible (for methods "jackknife", and "jack-validate").
A vector of budgets.
Gerald Jurasinski, gerald.jurasinski@uni-rostock.de,
Beetz S, Liebersbach H, Glatzel S, Jurasinski G, Buczko U, Hoper H (2013) Effects of land use intensity on the full greenhouse gas balance in an Atlantic peat bog. Biogeosciences 10:1067-1082
reco.bulk, gpp.bulk, modjust, budget.reco, budget.gpp
## See examples at budget.reco
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