phenology (version 2026.8.24)

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

Description

The function plot.phenologydata plots the observations.

Usage

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

Value

Nothing.

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

Author

Marc Girondot

Details

plot.phenologydata plots the observation data of phenology.

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

if (FALSE) {
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)
}