CSHShydRology (version 1.4.2)

ch_polar_plot_peaks: Polar / circular plots of peak flows

Description

Polar / circular plots of peak flows. Creates a polar plot of flow peaks in one of several different forms. Basic plot has shading for nival and pluvial centroids.

Usage

ch_polar_plot_peaks(
  title = NA,
  direction = NULL,
  regularity = NULL,
  days = NULL,
  shading = FALSE,
  shade = 35,
  pt_col = "darkblue",
  in_pch = NULL,
  in_cex = NULL,
  in_col = NULL,
  in_detail = NULL,
  labels = NULL,
  label_pos = NULL,
  out_pch = 16,
  out_cex = 0.8,
  ...
)

Value

Creates a circular plot of peak flows.

Arguments

title

a title to be added to the plot

direction

a value or array of mean/median direction, circular mean or median of points from ch_circ_mean_reg (optional)

regularity

a value or array of regularity from ch_circ_mean_reg (optional).

days

an array of days of year to be plotted on perimeter (optional).

shading

if TRUE adds shading and labels for nival and pluvial regimes default = FALSE

shade

percentage of shading, default is 35.

pt_col

colour used for points for events. default = "darkblue". If pt_col is an array it is used to colour the individual points of days

in_pch

a value or an array of symbols to be used for centroids. To be in color, must be one of 21 to 25 to get a symbol with border, elsewise a red symbol is plotted.

in_cex

an array of symbol sizes

in_col

an array of colors, either numbers or names to apply to centroid points (optional, default is "red")

in_detail

an array of indices indicating symbol [1] shape, [2] colour, [3] background, and [4]size

labels

an array of labels to be placed beside points with direction and regularity (optional)

label_pos

an array of positions indicating when label be placed (1, 2, 3, or 4 - below, left, above, right)(optional - default is below)

out_pch

symbols for points on outside of circle

out_cex

point size for symbol

...

other plot options

Author

Paul Whitfield

References

Pewsey, A., M. Neuhauser, and G. D. Ruxton. 2014. Circular Statistics in R, 192 pp., Oxford University Press.

Whitfield, P. H. 2018. Clustering of seasonal events: A simulation study using circular methods. Communications in Statistics - Simulation and Computation 47(10): 3008-3030.

Burn, D. H., and P. H. Whitfield. 2023. Changes in the timing of flood events resulting from climate change. Journal of Hydrology.

Examples

# base plot
ch_polar_plot_peaks() 

#base plot with area shading
ch_polar_plot_peaks(shading = TRUE)

# plot of annual maximum series
data(CAN05AA008)
am <- ch_sh_get_amax(CAN05AA008)
ch_polar_plot_peaks(days = am$doy, title = "05AA008")

#remove partial years
am <-am[am$days >= 365,]
ch_polar_plot_peaks(days = am$doy, title = "05AA008")

#plot the centroid
m_r <- ch_circ_mean_reg(am)
ch_polar_plot_peaks(direction = m_r$mean, regularity = m_r$regularity, title = "05AA008")

# plot peaks and centroid
ch_polar_plot_peaks(days = am$doy, direction = m_r$mean, regularity = m_r$regularity, 
title = "05AA008")