ts_variation: Time Series Variation for multiple monitors' temporal...

In gmcginnis/AirVizR: Visualization Tools for Air Quality Data

Description

Please note that this function will take the longest of all the visualization options. Visualize variation in temporal atmospheric data for multiple monitors and (optionally) multiple pollutants; a customization of timeVariation from openair. Relevant information (such as type of pollutant(s) and temporal scale of data set) will be reported automatically in the visualization, however limitations to the plot settings prevent all relevant information from being included.

Usage

ts_variation(
  dataset,
  pollutants,
  group,
  subset = c("hour", "day.hour", "day", "month"),
  include,
  exclude,
  location_data = data_meta,
  color = "Dark2"
)

Arguments

dataset	The data set to visualize. This function works best with unaveraged or hourly-averaged data.
pollutants	Character, optionally a list; in quotation marks, the pollutant(s) to map. Note that if multiple are specified, group must remain unspecified.
group	Character; in quotation marks, the variable for which to group the data (i.e. what will distinguish values from one another). Note that if specified, pollutants must be singular.
subset	Character; in quotation marks, the specific plot to report. Either all (default; c("hour", "day.hour", "day", "month")) or one (from the default list) is permitted.
include	Character, optional; label(s) of monitors to include. See filter_df for more information.
exclude	Character, optional; label(s) of monitors to exclude. See filter_df for more information.
location_data	Data set containing label information
color	Character; color palette to use. For a full list of other defaults, see openColours.

Value

Data visualization: diurnal, hour of day, day of the week, and/or monthly time series variation of specified pollutant(s).

See Also

timeVariation()

Other STAD visualizations: heatmap_cross(), heatmap_single(), map_oa(), map_stad(), ts_line()

Examples

ts_variation(july_api_hourly, "pm25_atm", include = "Lighthouse", group = "date_tag", location_data = july_api_meta)
ts_variation(july_api_hourly, c("pm25_atm", "temperature_ambient"), location_data = july_api_meta, subset = "hour")

gmcginnis/AirVizR documentation built on Dec. 20, 2021, 11:49 a.m.