Description Usage Arguments Value Author(s)
Function to get all scheme calculation, adjust = TRUE make a adjusting NLS.
1 2 3 4 5 | get.AllSchems(data, Ovrcst_sch = c("CQB", "CKC", "CCB", "CKZ", "CWU", "CJG",
"CLM", "CFG"), Emiss_sch = c("EAN", "EBR", "EBT", "EDO", "EGR", "EIJ",
"EID", "EKZ", "ENM", "EPR", "EST", "ESW", "EAI"), adjust = FALSE,
method = "non-linear", nsample = 1000, max_iter = 10, stats = "rmse",
log_file = NULL, forced = TRUE)
|
data |
Data frame with atmospheric variables |
Ovrcst_sch |
Schemes for cloud cover index |
Emiss_sch |
Schemes of atmosphere emissivity |
adjust |
FALSE, TRUE for NLS adjusting |
method |
"non-linear" (default) for Non linear Least Square adjust, "montecarlo" for MonteCarlo optimization. Later be usseful when a NLS can't adjust observed data allowing optimization. |
nsample |
population number evaluated in each iteration (only when method = "montecarlo"). |
max_iter |
maximun number of iterations (only when method = "montecarlo"). |
stats |
statistical function to be minimized (only when method = "montecarlo"), NOTE: the best result should be 0.0 (ex., if stats = r (correlation), then transform to rMod = 1.0 - r, so the best result is when r== 1.0, so rMod == 0.0) |
log_file |
path to a log file |
forced |
Forced adjust, default TRUE |
Data frame with Li observed and all combintions of schemes for calculations of Li
Roilan Hernandez
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