plot.phenologydata: Plot the phenology from a add_phenology().

In phenology: Tools to Manage a Parametric Function that Describes Phenology and More

Plot the phenology from a add_phenology().

Description

The function plot.phenologydata plots the observations.

Usage

## S3 method for class 'phenologydata'
plot(
  x,
  ...,
  series = "all",
  moon = FALSE,
  season = NULL,
  col.observations = "black",
  col.minimum.observations = "blue",
  col.grouped.observations = "green"
)

Arguments

x	A result file generated by add_phenology
...	Parameters used by plot
series	Name or number of series to be plotted or 'all'
moon	If TRUE, the moon phase is ploted. Default is FALSE
season	Which season to plot
col.observations	Color of the points
col.minimum.observations	Color of the points indicating minimum counts
col.grouped.observations	Color of the lines indicating grouped observations

Details

plot.phenologydata plots the observation data of phenology.

Value

Nothing.

Author(s)

Marc Girondot [e-mail]

See Also

Other Phenology model: AutoFitPhenology(), BE_to_LBLE(), Gratiot, LBLE_to_BE(), LBLE_to_L(), L_to_LBLE(), MarineTurtles_2002, MinBMinE_to_Min(), adapt_parameters(), add_SE(), add_phenology(), extract_result(), fit_phenology(), likelihood_phenology(), logLik.phenology(), map_Gratiot, map_phenology(), par_init(), phenology(), phenology2fitRMU(), phenology_MHmcmc(), phenology_MHmcmc_p(), plot.phenology(), plot.phenologymap(), plot_delta(), plot_phi(), print.phenology(), print.phenologymap(), print.phenologyout(), remove_site(), result_Gratiot, result_Gratiot1, result_Gratiot2, result_Gratiot_Flat, summary.phenology(), summary.phenologymap(), summary.phenologyout()

Examples

## Not run: 
library(phenology)
# Read a file with data
data(Gratiot)
# Generate a formatted list nammed data_Gratiot 
data_Gratiot <- add_phenology(Gratiot, name = "Complete", 
		reference = as.Date("2001-01-01"), format="%d/%m/%Y")

plot(data_Gratiot)

## End(Not run)

phenology documentation built on Aug. 24, 2026, 5:08 p.m.