Description Usage Arguments Value Note See Also Examples
Curve fit vegetation index (VI) time-series of every growing season using fine curve fitting methods.
1 2 3 4 5 6 7 |
y |
Vegetation time-series index, numeric vector |
t |
The corresponding doy of x |
tout |
The output interpolated time. |
methods |
Fine curve fitting methods, can be one or more of |
... |
other parameters passed to curve fitting function. |
fFITs S3 object, see fFITs()
for details.
'Klos' have too many parameters. It will be slow and not stable.
fFITs()
,
FitDL.AG()
, FitDL.Beck()
,
FitDL.Elmore()
, FitDL.Gu()
,
FitDL.Klos()
, FitDL.Zhang()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | library(phenofit)
# simulate vegetation time-series
fFUN = doubleLog.Beck
par = c(
mn = 0.1,
mx = 0.7,
sos = 50,
rsp = 0.1,
eos = 250,
rau = 0.1)
t <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
y <- fFUN(par, t)
methods <- c("AG", "Beck", "Elmore", "Gu", "Zhang") # "Klos" too slow
fFITs <- curvefit(y, t, tout, methods)
|
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