ggcalendar: Calendar time series plot with tiles

In Ostluft/rOstluft.plot: Ploting air quality data

Calendar time series plot with tiles

Description

ggcalendar calculates the necessary date components and creates a ggplot object with the correct mappings for the other cal_* components.

cal_month_border uses ggplot2::geom_segment() to draw a border around the months.

cal_label is a wrapper around ggplot2::geom_text() (but ggplot2::geom_label() could be used).

Usage

ggcalendar(
  data,
  x = "date",
  z = "O3_max_h1",
  size = 0.1,
  color = "white",
  ...,
  locale = Sys.getlocale("LC_TIME")
)

cal_month_border(
  size = 0.5,
  lineend = "square",
  linejoin = "bevel",
  color = "grey5",
  ...
)

cal_label(
  mapping = NULL,
  stat = "identity",
  data = NULL,
  geom = "text",
  position = "identity",
  show.legend = FALSE,
  inherit.aes = TRUE,
  na.rm = TRUE,
  size = 2,
  color = "white",
  ...
)

Arguments

data	input data
x	date column as Date, POSIXct or Character
z	value columns
size	parameter passed on to geom_tile() => space between tiles
color	parameter passed on to geom_tile() => color of space between tiles
...	more options for ggplot2::geom_tile()
locale	locale string for lubridate::month() and lubridate::wday(). See Sys.getlocale()
lineend	Line end style (round, butt, square).
linejoin	Line join style (round, mitre, bevel).
mapping	Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.
stat	The statistical transformation to use on the data for this layer. When using a ⁠geom_*()⁠ function to construct a layer, the stat argument can be used the override the default coupling between geoms and stats. The stat argument accepts the following: A Stat ggproto subclass, for example StatCount. A string naming the stat. To give the stat as a string, strip the function name of the stat_ prefix. For example, to use stat_count(), give the stat as "count". For more information and other ways to specify the stat, see the layer stat documentation.
geom	geom used for layer. "label" could be an alternative
position	A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The position argument accepts the following: The result of calling a position function, such as position_jitter(). This method allows for passing extra arguments to the position. A string naming the position adjustment. To give the position as a string, strip the function name of the position_ prefix. For example, to use position_jitter(), give the position as "jitter". For more information and other ways to specify the position, see the layer position documentation.
show.legend	logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. borders().
na.rm	If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

Value

ggplot2 object

ggplot2 layer

ggplot2 layer

Examples

library(ggplot2)

fn <- rOstluft.data::f("Zch_Stampfenbachstrasse_2010-2014.csv")

# keep only 2 years for smaller plotsize
df <-
 rOstluft::read_airmo_csv(fn) %>%
 dplyr::filter(starttime < lubridate::ymd(20120101)) %>%
 rOstluft::resample(new_interval = "d1") %>%
 rOstluft::rolf_to_openair()

ggcalendar(df, z = "PM10") +
  scale_fill_viridis_c(direction = -1, option = "magma", na.value = NA)

# can be customised...
ggcalendar(df, z = "PM10") +
  scale_fill_viridis_c(direction = -1, option = "magma", na.value = NA) +
  cal_month_border(color = "black") +
  stat_filter(aes(filter = PM10 > 50),  position = position_nudge(y = 0.25),
              size = 1, shape = 21, color = "white", fill = "white") +
  cal_label(aes(label = round(PM10,0)))

Ostluft/rOstluft.plot documentation built on Jan. 26, 2025, 1:05 a.m.