heatmap_cross: Heatmap for multiple monitors' temporal atmospheric data
In gmcginnis/AirVizR: Visualization Tools for Air Quality Data

Description Usage Arguments Value See Also Examples

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

heatmap_cross(
  dataset,
  variable_of_interest,
  drop_incomplete = FALSE,
  cap_value = NA,
  cap_color = "red",
  data_labels = FALSE,
  text_color = "black",
  location_data = data_meta,
  digits = 2
)

`dataset`	The hourly dataset to visualize
`variable_of_interest`	The variable of interest (not in quotation marks) which to visualize
`drop_incomplete`	Logical; drop/keep incomplete monitors, see drop_incomplete for more information.
`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
`text_color`	Character; the color of data label text
`location_data`	Data set containing latitude and longitude data
`digits`	Numeric; the number of digits to report

Data visualization: heatmap colored by a specified numeric variable, with time on the x-axis (and appropriate breaks & labels) and monitor labels on the y-axis arranged from north to south and separted by location.

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

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heatmap_cross(july_api_hourly, pm25_atm, location_data = july_api_meta)
heatmap_cross(july_api_hourly, pm25_atm, location_data = july_api_meta, drop_incomplete = TRUE, cap_value = 75, cap_color = "green")
heatmap_cross(july_api_daily, temperature, location_data = july_api_meta, drop_incomplete = TRUE)