The airport data in the flightsbr package is downloaded from Brazil’s Civil Aviation Agency (ANAC). The data covers all airports and aerodromes registered in ANAC. It brings detailed information on….[mention a few key variables].
Before downloading the data, let’s first load the libraries we’ll use in this vignette:
library(flightsbr) library(ggplot2) # library(geobr)
Now, downloading data of all airports in Brazil is as simple as this:
# private airports <- flightsbr::read_airports(type = 'private', showProgress = FALSE) airports_prv # public airports <- flightsbr::read_airports(type = 'public', showProgress = FALSE)airports_pbl
You will notice that the data sets on private and public airports have different columns. This can make row binding these data.frames a bit tricky. For now, the function
read_airports() can return a data.frame with both types of airports and only a few columns if the user set
type = "all". The geographical coordinates are provided in
EPSG Projection 4326 - WGS 84.
<- flightsbr::read_airports(type = 'all', showProgress = FALSE) airports_all # plot # brazil <- geobr::read_country() ggplot() + # geom_sf(data=brazil, color='gray') + geom_point(data=airports_all, aes(x=longitude, y=latitude), size=.3 , alpha=.4) + coord_equal()