mapPlotStatic: Static Map Plot

In smorsink1/ncov2019: Import and Visualize COVID-19, Zika, and SARS Data

Description

Generates a static global map plot of a certain value of data.

Usage

mapPlotStatic(data, selected_date = NA, selected_value_type = NA,
  color = "red", alpha = 0.5, congregate = FALSE)

Arguments

data	The data frame that contains the data to be plotted on the world map. This data frame must contain the following columns: "long" (type "numeric"), "lat" (type "numeric"), and "value" (type "numeric").
selected_date	If the data frame contains a column "date" with multiple dates, this parameter must specify a specific date to be plotted.
selected_value_type	If the data frame contains a column "value_type" with multiple dates, this parameter must specify a specific data value type to be plotted. Options are "cases", "deaths", and "recovered".
color	Color of points on world map. Default is red.
alpha	Transparency level of points on world map. Default is 0.5.
congregate	Only applies to Zika data. Since Zika data was tracked on a scattered weekly basis, this determines whether or not the user would like to congregate the data (TRUE) or just to see the data tracked on the selected date in the passed-in data frame (FALSE). Note that if congregate is TRUE, the exact date won't be returned, but rather the closest congregation date prior to the selected date. Defaults to FALSE.

Value

Output is the ggplot object which maps the chosen value on a world map using latitude and longitude data.

Examples

covid_data <- importCovidData(from_web = FALSE)
sars_data <- importSARSData()

mapPlotStatic(covid_data, selected_date = "2020-03-01", 
selected_value_type = "cases", alpha = 0.3)
mapPlotStatic(sars_data, selected_date = "2003-04-02", 
selected_value_type = "deaths", color = "purple")

smorsink1/ncov2019 documentation built on March 27, 2020, 7:22 p.m.