A plotting function for phenological thresholds
This function uses data from a fitted phenological model, the extracted metrics and plots them in an annotated graph.
PhenoPlot(data, metrics, add = FALSE, show.uncert = TRUE, ...)
data |
Fitted data from a fitting function such as GuFit, SplineFit, KlostermanFit, ElmoreFit, BeckFit |
metrics |
A named vector or a dataframe, depending on the presence or absence of uncertainty estimation |
add |
If TRUE the plot is superimposed to an existing one |
show.uncert |
Should uncertainty be shown as error bars around the extracted thresholds? It requires that data in imput incorporate the uncertainty estimation. |
... |
Several argument as in |
This function allows to plot fitting and thresholding on a season of gcc data. Uncertainty can be also shown
Gianluca Filippa <gian.filippa@gmail.com>
## Not run: data(bartlett2009.fitted) klosterman.phenophases <- PhenoExtract(bartlett2009.fitted, method='klosterman', uncert=TRUE, plot=FALSE) PhenoPlot(bartlett2009.fitted, klosterman.phenophases$unc.df) ## End(Not run)
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