curvefit: Fine curve fitting

In phenofit: Extract Remote Sensing Vegetation Phenology

Description

Curve fit vegetation index (VI) time-series of every growing season using fine curve fitting methods.

Usage

curvefit(
  y,
  t = index(y),
  tout = t,
  methods = c("AG", "Beck", "Elmore", "Gu", "Klos", "Zhang"),
  ...
)

Arguments

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 c('AG', 'Beck', 'Elmore', 'Gu', 'Klos', 'Zhang').
...	other parameters passed to curve fitting function.

Value

fFITs S3 object, see fFITs() for details.

Note

'Klos' have too many parameters. It will be slow and not stable.

See Also

fFITs(), FitDL.AG(), FitDL.Beck(), FitDL.Elmore(), FitDL.Gu(), FitDL.Klos(), FitDL.Zhang()

Examples

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)

phenofit documentation built on April 2, 2020, 5:07 p.m.