phenofit (version 0.3.2)

get_pheno: get_pheno

Description

Get yearly vegetation phenological metrics of a curve fitting method

Usage

get_pheno(
  fits,
  method,
  TRS = c(0.2, 0.5, 0.6),
  analytical = TRUE,
  smoothed.spline = FALSE,
  IsPlot = FALSE,
  show_title = TRUE,
  ...
)
get_pheno.fFITs(
  fFITs,
  method,
  TRS = c(0.2, 0.5),
  analytical = TRUE,
  smoothed.spline = FALSE,
  IsPlot = FALSE,
  title_left = "",
  showName_pheno = TRUE
)

Value

List of every year phenology metrics

Arguments

fits

A list of fFITs() object, for a single curve fitting method.

method

Which fine curve fitting method to be extracted?

TRS

Threshold for PhenoTrs.

analytical

If true, numDeriv package grad and hess will be used; if false, D1 and D2 will be used.

smoothed.spline

Whether apply smooth.spline first?

IsPlot

Boolean. Whether to plot figure?

show_title

Whether to show the name of fine curve fitting method in top title?

...

ignored.

fFITs

fFITs object returned by curvefit().

title_left

String of growing season flag.

showName_pheno

Whether to show phenological methods names in the top panel?

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)
# multiple years
fits  <- list(`2001` = fFITs, `2002` = fFITs)

l_param   <- get_param(fits)
d_GOF     <- get_GOF(fits)
d_fitting <- get_fitting(fits)
l_pheno   <- get_pheno(fits, "AG", IsPlot=TRUE)