View source: R/rvn_budyko_plot.R
| rvn_budyko_plot | R Documentation | 
rvn_budyko_plot creates a Budyko plot, adding supplied data points if provided.
rvn_budyko_plot(
  x = NULL,
  x_indices = NULL,
  limiting_labels = FALSE,
  budyko_curve = FALSE,
  mm = 9,
  dd = 30
)
| x | extensible time series object of PET, AET, and PRECIP (optional) | 
| x_indices | extensible time series object of annual ARIDITY and EVAPORATION indices (optional) | 
| limiting_labels | boolean whether to vertical line at x=1 and labels for 'Energy Limited' and 'Water Limited' to plot | 
| budyko_curve | boolean whether to add curve to plot | 
| mm | month of water year ending (default 9) | 
| dd | day of water year ending (default 30) | 
Creates a blank Budyko curve plot if no data is provided. Labels may optionally
be added to the plot with limiting_labels=TRUE to indicate where in the
curve the energy-limited and water-limited limits are. The original Budyko curve
may also be added with budyko_curve=TRUE.
Data may be provided and plotted in the graph as well. If data is provided, it can be provided as: - x: an xts object with PRECIP, AET, and PET columns - x_indices: an xts object with indices calculated for each year, columns named ARIDITY and EVAPORATIVE
| p1 | returns Budyko plot as ggplot object | 
Budyko, M.I. (1974), Climate and Life, Academic Press, New York.
rvn_watershedmeb_read for reading in the WatershedMassEnergyBalance.csv file, and
rvn_apply_wyearly to apply functions over the water year.
# return blank Budyko plot
rvn_budyko_plot()
# return blank plot with labels and curve added
rvn_budyko_plot(limiting_labels=TRUE, budyko_curve=TRUE)
# plot sample data on Budyko plot (two years of data)
wstor <- system.file("extdata","run1_WatershedStorage.csv", package="RavenR") %>%
           rvn_watershed_read()
ff <- system.file("extdata","run1_ForcingFunctions.csv", package="RavenR") %>%
           rvn_forcings_read()
library(xts)
precip <- ff$forcings$rain+ff$forcings$snow
pet <- ff$forcings$PET
aet <- diff.xts(x=wstor$watershed_storage$Cum..Losses.to.Atmosphere..mm.,
          k=1, na.pad=TRUE)
aet[1] <- 0
x <- merge.xts(precip,pet,aet)
names(x) <- c("precip","pet","aet")
rvn_budyko_plot(x=x, budyko_curve=TRUE)
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