fFITs | R Documentation |
plot curve fitting VI, gradient (first order difference D1), hessian (D2), curvature (k) and the change rate of curvature(der.k)
## S3 method for class 'fFITs' plot(x, method, show.pheno = TRUE, ...) ## S3 method for class 'fFIT' plot(x, data, ...)
x |
Fine curve fitting object |
method |
Which fine curve fitting method to be extracted? |
show.pheno |
whether to plot phenological metrics. |
... |
other parameters to |
data |
A data.frame with the columns of |
curvature()
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 fit <- curvefit(y, t, tout, methods) # plot plot(fit)
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