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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