heatmap_single: Heatmap for a single monitor's temporal atmospheric data
In gmcginnis/AirVizR: Visualization Tools for Air Quality Data

Description Usage Arguments Value See Also Examples

Visualize hourly atmospheric data for a single monitor using a heatmap, with optional data labels. To visualize multiple monitors on a heatmap, see heatmap_cross. Relevant information (such as date ranges, averaging methods, facets, and min/max values in the set) will be reported automatically in the visualization.

heatmap_single(
  variable_of_interest,
  site_of_interest = "",
  cap_value = NA,
  cap_color = "red",
  data_labels = TRUE,
  digits = 2,
  date_breaks = "1 day",
  text_color = "black",
  dataset = data_hourly,
  location_data = data_meta
)

`variable_of_interest`	The variable of interest (not in quotation marks) which to visualize
`site_of_interest`	Character; the label (or a portion of the label) of the monitor to visualize
`cap_value`	Numeric, optional; values at or above to be colored serpately from the regular continuous scale. See add_cap for more information.
`cap_color`	Character; color for values at or above the `cap_value`
`data_labels`	Logical; label each cell in the heatmap with the appropriate value
`digits`	Numeric; the number of digits to report
`date_breaks`	Character; the frequency of x-axis label breaks
`text_color`	Character; the color of data label text
`dataset`	The hourly data set to visualize
`location_data`	Data set containing latitude and longitude data

Data visualization: hourly heatmap colored by a specified numeric variable, with date on the x-axis and hours on the y-axis.

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

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heatmap_single(pm25_epa_2021, "Lighthouse", dataset = july_api_hourly, location_data = july_api_meta)
heatmap_single(temperature, "Lighthouse", cap_value = 85, cap_color = "green", data_label = FALSE, dataset = july_api_hourly, location_data = july_api_meta)