| PhenoGu | R Documentation | 
Phenology extraction in GU method (GU)
PhenoGu(x, t, ...)
## S3 method for class 'fFIT'
PhenoGu(x, t = NULL, analytical = FALSE, smoothed.spline = FALSE, ...)
## Default S3 method:
PhenoGu(x, t, der1, IsPlot = TRUE, ...)
| x | numeric vector, or  | 
| t | 
 | 
| ... | other parameters to  | 
| analytical | If true,  | 
| smoothed.spline | Whether apply  | 
| der1 | the first order difference | 
| IsPlot | whether to plot? | 
A numeric vector, with the elements of:
UD: upturn date
SD: stabilisation date
DD: downturn date
RD: recession date
Gu, L., Post, W. M., Baldocchi, D. D., Black, T. A., Suyker, A. E., Verma, S. B., … Wofsy, S. C. (2009). Characterizing the Seasonal Dynamics of Plant Community Photosynthesis Across a Range of Vegetation Types. In A. Noormets (Ed.), Phenology of Ecosystem Processes: Applications in Global Change Research (pp. 35–58). New York, NY: Springer New York. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-1-4419-0026-5_2")}
Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Forkel, M., Wingate, L., … Richardson, A. D. (2016). Phenopix: A R package for image-based vegetation phenology. Agricultural and Forest Meteorology, 220, 141–150. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.agrformet.2016.01.006")}
# `doubleLog.Beck` simulate vegetation time-series
t    <- seq(1, 365, 8)
tout <- seq(1, 365, 1)
par  = c( mn  = 0.1 , mx  = 0.7 , sos = 50 , rsp = 0.1 , eos = 250, rau = 0.1)
y <- doubleLog.Beck(par, t)
methods <- c("AG", "Beck", "Elmore", "Gu", "Zhang") # "Klos" too slow
fit <- curvefit(y, t, tout, methods)
x <- fit$model$AG # one model
par(mfrow = c(2, 2))
PhenoTrs(x)
PhenoDeriv(x)
PhenoGu(x)
PhenoKl(x)
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