To introduce the mapview package, make an interactive map with Starbucks coffee shop locations in North Carolina (2012). (Adapted from Machlis.)1

Load Libraries


Load Data

2012 Starbucks locations (data source)

starbucks <- read_csv("")

Subset Data to North Carolina

starbucksNC <- starbucks  %>% 
  filter(State == "NC")


Make the Map

In this example, plot latitude (y coordinates) and longitude (x coordinates), then set the map projection to a common projection standard, WGS84, via the argument crs = 4326.)

mapview(starbucksNC, xcol = "Longitude", ycol = "Latitude", crs = 4269, grid = FALSE)

Alternative: Transform data to Spatial object

Another way to plot the x & y coordinates is by transforming the starbucksNC tibble (i.e. the starbucksNC data frame) into a spacial data frame via the simple features function, st_as_sf(). It’s important to set the map projection to a common standard, WGS84, via the argument crs = 4326.)

sbux_sf <- st_as_sf(starbucksNC, coords = c("Longitude", "Latitude"),  crs=4326)

Now Map the sf object.

Below, you can plot the latitude and longitude coordinate, and set the map.types argument to openStreetMap. Base maps are set with map.types. For example a high contrast, black and white basemap can be set with the argument map.types = "Stamen.Toner". See available map types, or leave out the map.types argument for a set of default base maps to choose via the layering button.

#mapview(sbuxsfc, map.types = "Stamen.Toner")