map_stad: Map Spatio-Temporal Atmospheric Data (STAD)
In gmcginnis/AirVizR: Visualization Tools for Air Quality Data

Description Usage Arguments Value See Also Examples

Visualize spatio-temporal atmospheric data using points on a map, colored by a specified variable. Relevant information (such as date ranges, averaging methods, facets, and min/max values in the set) will be reported automatically in the visualization.

map_stad(
  dataset,
  variable_of_interest,
  grouping_vars = NULL,
  location_data = data_meta,
  cap_value = NA,
  cap_color = "red",
  point_size = 3,
  maptype = "toner-lite",
  zoom = 11,
  tint_alpha = 0.5,
  tint_color = "black"
)

`dataset`	Data set for which to visualize
`variable_of_interest`	The variable of interest (not in quotation marks) which to visualize
`grouping_vars`	Character, optional; one or two variables for which to facet (grid) the plot by
`location_data`	Data set containing latitude and longitude data
`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`
`point_size`	Numeric; size of the points on the map
`maptype`	Character; the qmplot class of maptype to use; see get_map for types.
`zoom`	Numeric; the zoom level of the map
`tint_alpha`	Numeric; the transparency for the background tint overlaid on the map
`tint_color`	Character; the color of background tint overlaid on the map

Data visualization: map with data points colored by a specified numeric variable, located by a provided data frame of lat/long data.

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

map_stad(july_api_daily, pm25_atm, location_data = july_api_meta, grouping_vars = "date_tag")
map_stad(
  july_api_daily, pm25_atm, location_data = july_api_meta, grouping_vars = "date_tag",
  point_size = 5, cap_value = 50, cap_color = "green",
  maptype = "terrain", tint_color = "white"
)