The R Journal: article published in 2021, volume 13:2

openSkies - Integration of Aviation Data into the R Ecosystem
Rafael Ayala, Daniel Ayala, Lara Sellés Vidal and David Ruiz , The R Journal (2021) 13:2, pages 590-599.

Abstract Aviation data has become increasingly more accessible to the public thanks to the adoption of technologies such as Automatic Dependent Surveillance-Broadcast (ADS-B) and Mode S, which provide aircraft information over publicly accessible radio channels. Furthermore, the OpenSky Network provides multiple public resources to access such air traffic data from a large network of ADS-B receivers. Here, we present openSkies, the first R package for processing public air traffic data. The package provides an interface to the OpenSky Network resources, standardized data structures to represent the different entities involved in air traffic data, and functionalities to analyze and visualize such data. Furthermore, the portability of the implemented data structures makes openSkies easily reusable by other packages, therefore laying the foundation of aviation data engineering in R.

Received: 2021-03-08; online 2021-10-19, supplementary material, (6.7 MiB)
CRAN packages: openSkies, ggmap
CRAN Task Views implied by cited CRAN packages: Spatial, WebTechnologies

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-095,
  author = {Rafael Ayala and Daniel Ayala and Lara Sellés Vidal and
          David Ruiz},
  title = {{openSkies - Integration of Aviation Data into the R
          Ecosystem}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-095},
  url = {https://doi.org/10.32614/RJ-2021-095},
  pages = {590--599},
  volume = {13},
  number = {2}
}