get_GOF: get_GOF

In phenofit: Extract Remote Sensing Vegetation Phenology

Description

Goodness-of-fitting (GOF) of fine curve fitting results.

Usage

get_GOF(fit)

get_GOF.fFITs(fFITs)

Arguments

fit	Object returned by curvefits.
fFITs	fFITs object returned by curvefit().

Value

• meth: The name of fine curve fitting method

• RMSE: Root Mean Square Error

• NSE : Nash-Sutcliffe model efficiency coefficient

• R : Pearson-Correlation

• R2 : determined coefficient

• pvalue: pvalue of R

• n : The number of observations

References

1. https://en.wikipedia.org/wiki/Nash-Sutcliffe_model_efficiency_coefficient
   

2. https://en.wikipedia.org/wiki/Pearson_correlation_coefficient

See Also

curvefit()

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)

Example output

phenofit documentation built on Oct. 15, 2021, 5:09 p.m.