Flights in Brazil

This repository have datasets with all flights in Brazil registered by ANAC (Agência Nacional de Aviação Civil - National Civil Aviation Agency), all airports involved in these flights and a undirected graph with the number of flights between two airports.

Sources:

• Flights in Brazil by ANAC.
• List of public aerodromes by ANAC.
• Airport Codes by DataHub.io (note: the latitude and longitude columns have their values swapped).

After merging the datasets, the geocoder package was used to fill in the empty values.

Datasets

You can find the datasets in data/.

anac.csv.lrz

All flights in Brazil by ANAC. ANAC does not provide the data dictionary. You can use lrzip to decompress the file.

airports.csv

All airports on ANAC flight records.

Column	Type	Description	Example
code	string	ICAO airport code	"SNBG"
name	string	Airport name.	"BAIXO GUANDU"
state	string	State where the airport is located.	"ES"
region	string	Region where the airport is located.	"SUDESTE"
country	string	Country where the airport is located.	"BRASIL"
continent	string	Continent where the airport is located.	"AMÉRICA DO SUL"
lat_geo_point	double	Latitude of the airport reference point.	-19.498889
lon_geo_point	double	Longitude of the airport reference point.	-41.041944

air_traffic.graphml

It's an undirected graph.

Node attributes

The id of each node is the ICAO airport code.

Column	Type	Description	Example
name	string	Airport name.	"GUARULHOS"
country	string	Country where the airport is located.	"BRASIL"
latitude	double	Latitude of the airport reference point.	-23.435556
longitude	double	Longitude of the airport reference point.	-46.473056

Edge attributes

Column	Type	Description	Example
flight_count	int	Number of flights carried out between these airports.	147

Scripts

• extract.py - Download all CSV files and puts them in the data/extract folder.
• transform_to_anac_csv.py - Merges all files downloaded from ANAC, rename the columns and create anac.csv.
• transform_to_airports_csv.py - Creates a dataset with all airports (airports.csv).
• transform_to_graphml.py - Creates an undirected graph (air_traffic.graphml).

Generate

In your environment:

# Install requirements for scripts
pip install -r requirements.txt

# Download csv files from sources
python3 extract.py

# Transform to final files
python3 transform_to_anac_csv.py
python3 transform_to_airports_csv.py
python3 transform_to_graphml.py

If you have Docker and Makefile installed on your machine, you can execute the make build command to create the image, followed by make shell to access a container and execute the aforementioned steps to generate the files.

To convert the data/anac.csv file into data/anac.csv.lrz, you must execute the following commands:

sudo apt install lrzip
lrzip -z data/anac.csv

Contributing

Contributions are more than welcome. Fork, improve and make a pull request. For bugs, ideas for improvement or other, please create an issue.

License

This project is licensed under the CDLA-Sharing-1.0 License - see the LICENSE file for details.