Airport data"

In flightsbr: Download Flight and Airport Data from Brazil

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

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].

• Data dictionary:
• Public airports.
• Private airports.

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
airports_prv <- flightsbr::read_airports(
  type = 'private', 
  showProgress = FALSE
  )

# public airports
airports_pbl <- flightsbr::read_airports(
  type = 'public', 
  showProgress = FALSE
  )

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.

airports_all <- flightsbr::read_airports(
  type = 'all', 
  showProgress = FALSE
  )

# 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()

knitr::include_graphics("https://github.com/ipeaGIT/flightsbr/blob/main/inst/img/vig_output_airports.png?raw=true")

flightsbr documentation built on June 8, 2025, 1:17 p.m.