calendarPlot: Plot time series values in a conventional calendar format

In openair: Tools for the Analysis of Air Pollution Data

Plot time series values in a conventional calendar format

Description

This function will plot data by month laid out in a conventional calendar format. The main purpose is to help rapidly visualise potentially complex data in a familiar way. Users can also choose to show daily mean wind vectors if wind speed and direction are available.

Usage

calendarPlot(
  mydata,
  pollutant = "nox",
  year = NULL,
  month = NULL,
  type = "month",
  statistic = "mean",
  data.thresh = 0,
  percentile = NA,
  annotate = "date",
  windflow = NULL,
  cols = "heat",
  limits = NULL,
  lim = NULL,
  col.lim = c("grey30", "black"),
  col.na = "white",
  font.lim = c(1, 2),
  cex.lim = c(0.6, 0.9),
  cex.date = 0.6,
  digits = 0,
  labels = NULL,
  breaks = NULL,
  w.shift = 0,
  w.abbr.len = 1,
  remove.empty = TRUE,
  show.year = TRUE,
  key.title = paste(statistic, pollutant, sep = " "),
  key.position = "right",
  strip.position = "top",
  auto.text = TRUE,
  plot = TRUE,
  key = NULL,
  ...
)

Arguments

mydata	A data frame of time series. Must include a date field and at least one variable to plot.
pollutant	Mandatory. A pollutant name corresponding to a variable in a data frame should be supplied e.g. pollutant = "nox".
year	Year to plot e.g. year = 2003. If not supplied and mydata contains more than one year, the first year of the data will be automatically selected. Manually setting year to NULL will use all available years.
month	If only certain month are required. By default the function will plot an entire year even if months are missing. To only plot certain months use the month option where month is a numeric 1:12 e.g. month = c(1, 12) to only plot January and December.
type	type determines how the data are split, i.e., conditioned, and then plotted. Only one type can be used with this function, as one faceting 'direction' is reserved by the month of the year. If a single type is given, it will form the "rows" of the resulting grid. Alternatively, c(type, "month") can be used can be specified for type to be used as the "columns" instead. type = "year" is a special case for calendarPlot() and will automatically prevent a single year from being selected (unless specified using the year argument) and set show.year to FALSE.
statistic	Statistic passed to timeAverage(). Note that if statistic %in% c("max", "min") and annotate is "ws" or "wd", the hour corresponding to the maximum/minimum concentration of polluant is used to provide the associated ws or wd and not the maximum/minimum daily ws or wd.
data.thresh	The data capture threshold to use (%). A value of zero means that all available data will be used in a particular period regardless if of the number of values available. Conversely, a value of 100 will mean that all data will need to be present for the average to be calculated, else it is recorded as NA. See also interval, start.date and end.date to see whether it is advisable to set these other options.
percentile	The percentile level in percent used when statistic = "percentile" and when aggregating the data with avg.time. More than one percentile level is allowed for type = "default" e.g. percentile = c(50, 95). Not used if avg.time = "default".
annotate	This option controls what appears on each day of the calendar. Can be: "date" — shows day of the month "value" — shows the daily mean value "none" — shows no label
windflow	If TRUE, the vector-averaged wind speed and direction will be plotted using arrows. Alternatively, can be a list of arguments to control the appearance of the arrows (colour, linewidth, alpha value, etc.). See windflowOpts() for details.
cols	Colours to use for plotting. Can be a pre-set palette (e.g., "turbo", "viridis", "tol", "Dark2", etc.) or a user-defined vector of R colours (e.g., c("yellow", "green", "blue", "black") - see colours() for a full list) or hex-codes (e.g., c("#30123B", "#9CF649", "#7A0403")). See openColours() for more details.
limits	Use this option to manually set the colour scale limits. This is useful in the case when there is a need for two or more plots and a consistent scale is needed on each. Set the limits to cover the maximum range of the data for all plots of interest. For example, if one plot had data covering 0–60 and another 0–100, then set limits = c(0, 100). Note that data will be ignored if outside the limits range.
lim	A threshold value to help differentiate values above and below lim. It is used when annotate = "value". See next few options for control over the labels used.
col.lim	For the annotation of concentration labels on each day. The first sets the colour of the text below lim and the second sets the colour of the text above lim.
col.na	Colour to be used to show missing data.
font.lim	For the annotation of concentration labels on each day. The first sets the font of the text below lim and the second sets the font of the text above lim. Note that font = 1 is normal text and font = 2 is bold text.
cex.lim	For the annotation of concentration labels on each day. The first sets the size of the text below lim and the second sets the size of the text above lim.
cex.date	The base size of the annotation text for the date.
digits	The number of digits used to display concentration values when annotate = "value".
breaks, labels	If a categorical colour scale is required then breaks should be specified. These should be provided as a numeric vector, e.g., breaks = c(0, 50, 100, 1000). Users should set the maximum value of breaks to exceed the maximum data value to ensure it is within the maximum final range, e.g., 100–1000 in this case. Labels will automatically be generated, but can be customised by passing a character vector to labels, e.g., labels = c("good", "bad", "very bad"). In this example, 0 - 50 will be "good" and so on. Note there is one less label than break.
w.shift	Controls the order of the days of the week. By default the plot shows Saturday first (w.shift = 0). To change this so that it starts on a Monday for example, set w.shift = 2, and so on.
w.abbr.len	The default (1) abbreviates the days of the week to a single letter (e.g., in English, S/S/M/T/W/T/F). w.abbr.len defines the number of letters to abbreviate until. For example, w.abbr.len = 3 will abbreviate "Monday" to "Mon".
remove.empty	Should months with no data present be removed? Default is TRUE.
show.year	If only a single year is being plotted, should the calendar labels include the year label? TRUE creates labels like "January-2000", FALSE labels just as "January". If multiple years of data are detected, this option is forced to be TRUE.
key.title	Used to set the title of the legend. The legend title is passed to quickText() if auto.text = TRUE.
key.position	Location where the legend is to be placed. Allowed arguments include "top", "right", "bottom", "left" and "none", the last of which removes the legend entirely.
strip.position	Location where the facet 'strips' are located when using type. When one type is provided, can be one of "left", "right", "bottom" or "top". When two types are provided, this argument defines whether the strips are "switched" and can take either "x", "y", or "both". For example, "x" will switch the 'top' strip locations to the bottom of the plot.
auto.text	Either TRUE (default) or FALSE. If TRUE titles and axis labels will automatically try and format pollutant names and units properly, e.g., by subscripting the "2" in "NO2". Passed to quickText().
plot	When openair plots are created they are automatically printed to the active graphics device. plot = FALSE deactivates this behaviour. This may be useful when the plot data is of more interest, or the plot is required to appear later (e.g., later in a Quarto document, or to be saved to a file).
key	Deprecated; please use key.position. If FALSE, sets key.position to "none".
...	Addition options are passed on to cutData() for type handling. Some additional arguments are also available: xlab, ylab and main override the x-axis label, y-axis label, and plot title. layout sets the layout of facets - e.g., layout(2, 5) will have 2 columns and 5 rows. fontsize overrides the overall font size of the plot. border sets the border colour of each tile.

Details

calendarPlot() will plot data in a conventional calendar format, i.e., by month and day of the week. Daily statistics are calculated using timeAverage(), which by default will calculate the daily mean concentration.

If wind direction is available it is then possible to plot the wind direction vector on each day. This is very useful for getting a feel for the meteorological conditions that affect pollutant concentrations. Note that if hourly or higher time resolution are supplied, then calendarPlot() will calculate daily averages using timeAverage(), which ensures that wind directions are vector-averaged.

If wind speed is also available, then setting the option annotate = "ws" will plot the wind vectors whose length is scaled to the wind speed. Thus information on the daily mean wind speed and direction are available.

It is also possible to plot categorical scales. This is useful where, for example, an air quality index defines concentrations as bands, e.g., "good", "poor". In these cases users must supply labels and corresponding breaks.

Note that is is possible to pre-calculate concentrations in some way before passing the data to calendarPlot(). For example rollingMean() could be used to calculate rolling 8-hour mean concentrations. The data can then be passed to calendarPlot() and statistic = "max" chosen, which will plot maximum daily 8-hour mean concentrations.

Value

an openair object

Author(s)

David Carslaw

See Also

Other time series and trend functions: TheilSen(), smoothTrend(), timePlot(), timeProp(), timeVariation()

Examples

# basic plot
calendarPlot(mydata, pollutant = "o3", year = 2003)

# show wind vectors
calendarPlot(mydata, pollutant = "o3", year = 2003, annotate = "wd")
## Not run: 
# show wind vectors scaled by wind speed and different colours
calendarPlot(mydata,
  pollutant = "o3", year = 2003, annotate = "ws",
  cols = "heat"
)

# show only specific months with selectByDate
calendarPlot(selectByDate(mydata, month = c(3, 6, 10), year = 2003),
  pollutant = "o3", year = 2003, annotate = "ws", cols = "heat"
)

# categorical scale example
calendarPlot(mydata,
  pollutant = "no2", breaks = c(0, 50, 100, 150, 1000),
  labels = c("Very low", "Low", "High", "Very High"),
  cols = c("lightblue", "green", "yellow", "red"), statistic = "max"
)

# UK daily air quality index
pm10.breaks <- c(0, 17, 34, 50, 59, 67, 75, 84, 92, 100, 1000)
calendarPlot(
  mydata,
  "pm10",
  year = 1999,
  breaks = pm10.breaks,
  labels = c(1:10),
  cols = "daqi",
  statistic = "mean",
  key.title = "PM10 DAQI"
)

## End(Not run)

openair documentation built on April 2, 2026, 9:07 a.m.