strip: Visualise large amounts of hourly data as yearly heatmaps

In tim-salabim/metvurst: Meteorological Visualisation Utilities Using R (for Science and Teaching)

Visualise large amounts of hourly data as yearly heatmaps

Description

Produces a heatmap display of hourly time series data showing hour of day on the y-axis and day-of-year in the x-axis

Usage

strip(x, date, fun = mean, range, cond = rep(" ", length(x)),
  arrange = c("long", "wide"),
  colour = colorRampPalette(rev(brewer.pal(11, "Spectral"))),
  n.col.levs = 1000, start, end, ...)

Arguments

x	the variable to be plotted.
date	the time series variable to be used for plotting. Needs to be YYYY-MM-DD HH:MM format
fun	the function to be used in case the time series is higher resolution than hourly.
range	the range of x to be plotted. Values outside this range will not be plotted.
cond	the conditioning variable to be used for creating the various strips. Usually the year. If not supplied, year will be used by default.
arrange	'long' (the default) will render all strips in one column. 'wide' will render things depending on device size.
colour	the colour palette to be used for the heatmap.
n.col.levs	the number of colour levels to interpolate to. Increase this if the colour palette does not span all data values.
start	the start date of the time series to plot. Only relevant for short time periods (i.e. sub-year).
end	the end of the time series to plot. Corresponding to start.

tim-salabim/metvurst documentation built on May 13, 2023, 9:32 a.m.