make_daily_chill_plot2: Plot daily climate metric accumulation throughout the year...

In chillR: Statistical Methods for Phenology Analysis in Temperate Fruit Trees

Plot daily climate metric accumulation throughout the year (2)

Description

This function generates a plot of the accumulation of a climate metric throughout the year. Its standard output are the mean daily accumulation and the standard deviation. It is also possible to add one or several so-called focusyears to add the daily accumulation during these years to the plots. Plots can be produced in R or directly exported as .png files.

Usage

make_daily_chill_plot2(
  daily,
  metrics = NA,
  startdate = 1,
  enddate = 366,
  useyears = NA,
  metriclabels = NA,
  focusyears = "none",
  cumulative = FALSE,
  fix_leap = TRUE
)

Arguments

daily	an object generated with the daily_chill function, which can calculate several standard chilling metrics or be supplied with user-written temperature models. Since the format for the input file must meet certain requirements, I recommend that you follow the steps shown in the example below to prepare it.
metrics	list of the metrics to be evaluated. This defaults to NA, in which case the function makes a guess on what metrics you want to calculated. This is done by choosing all column headers that are not required for a daily_chill object.
startdate	the first day of the season for which the metrics are to be summarized (as a Julian date = day of the year)
enddate	the last day of the season for which the metrics are to be summarized (as a Julian date = day of the year)
useyears	if only certain years are to be used, these can be provided here as a numeric vector. Defaults to NA, which means all years in the daily_chill object are used.
metriclabels	Character vector with labels for each metric to be analyzed. Defaults to NA, which means that the strings passed as metrics will be used.
focusyears	Numeric vector containing the years that are to be highlighted in the plot. Years for which no data are available are automatically removed.
cumulative	Boolean argument (TRUE or FALSE) indicating whether the climate metric should be shown as daily accumulation rates or as cumulative accumulation.
fix_leap	boolean parameter indicating whether the anomaly that can originate when leaf years are present in the data should be smoothed by interpolating between Dec 30 and Jan 1 in leap years.

Details

Plots daily accumulation of climatic metrics, such as winter chill, as daily accumulation rates or as cumulative accumulation. A legend is only added, when focusyears are also shown. Otherwise the plot is reasonably self-explanatory.

Value

The main purpose of the function is a side effect - plots of daily climate metric accumulation. However, all the data used for making the plots is returned as a list containing an element for each metric, which consists of a data.table with the daily means, standard deviation and daily values for all focusyears.

Author(s)

Eike Luedeling

Examples

daily<-daily_chill(stack_hourly_temps(fix_weather(
  KA_weather[which(KA_weather$Year>2005),])),running_mean=11)

make_daily_chill_plot2(daily,metrics=c("Chill_Portions","GDH"),cumulative=TRUE,
   startdate=300,enddate=30,focusyears=c(2009,2008))


 

chillR documentation built on Nov. 28, 2023, 1:09 a.m.