plot-cfScreenObs-missing-method: Plot Screen Observations

In clifro: Easily Download and Visualise Climate Data from CliFlo

Description

Plot temperature data from screen observations (degrees celsius) through time.

Usage

## S4 method for signature 'cfScreenObs,missing'
plot(
  x,
  y,
  ggtheme = c("grey", "gray", "bw", "linedraw", "light", "minimal", "classic"),
  scales = c("fixed", "free_x", "free_y", "free"),
  n_col = 1,
  ...
)

Arguments

x	a cfScreenObs object.
y	missing.
ggtheme	character string (partially) matching the ggtheme to be used for plotting, see 'Theme Selection' below.
scales	character string partially matching the scales argument in the link[ggplot2]{facet_wrap} function.
n_col	the number of columns of plots (default 1).
...	further arguments passed to theme.

Details

Temperature data from screen observations include the air, and wet bulb, temperature at the time the measurement was taken (dry bulb and wet bulb respectively), and the dew point. The dew point is the air temperature at which dew starts to form. That is the temperature to which a given air parcel must be cooled at constant pressure and constant water vapour content in order for saturation to occur.

The resulting figure plots the dry bulb, wet bulb and dew point temperatures on the same scale, for each station.

References

Screen Observation details.

See Also

plot,cfDataList,missing-method for general information on default plotting of cfData and cfDataList objects, and the links within. See cf_query for creating cfScreenObs objects.

Refer to theme for more possible arguments to pass to these methods.

Examples

## Not run: 
# Retrieve public temperature data from screen observations for the last week
# at Reefton Ews station

# Subtract 7 days from today's date to get the start date
last_week = paste(as.character(Sys.Date() - 7), 0)

reefton_screenobs = cf_query(cf_user(), cf_datatype(4, 1, 1), cf_station(),
                             start_date = last_week)

class(reefton_screenobs) # cfScreenObs object

# Plot the temperature data using the defaults
plot(reefton_screenobs)

# Enlarge the text and add the observations as points
library(ggplot2) # for element_text() and geom_point()
plot(reefton_screenobs, ggtheme = "bw", text = element_text(size = 16)) +
  geom_point(size = 3, shape = 1)

# Save the plot as a png to the current working directory
library(ggplot2) # for ggsave()
ggsave("my_screenobs_plot.png")

## End(Not run)

clifro documentation built on May 24, 2021, 9:06 a.m.