Curve fit vegetation index (VI) time-series of every growing season using fine curve fitting methods.
curvefit( y, t = index(y), tout = t, methods = c("AG", "Beck", "Elmore", "Gu", "Klos", "Zhang"), ... )
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.
#> Error in library(phenofit): there is no package called ‘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)#>#>#>#>#>#>#>#>#>#>