Analysis of GPS interruption data in public domain. This is a project I do in my free time, using public datasets processed with JupyterLab on Github Codespaces. It is not related to my current or previous employers.
At the time of writing, wikipedia is available under the Creative Commons Attribution-ShareAlike 3.0 License. The Navigation Center of the United States Coast Guard does not have a copyright or license statement on their website. The data is scraped as 'fair use'. The UNECE website data can be downloaded and copied for personal, non commercial use. This dictates the licensing of this repository as Creative Commons Attribution-ShareAlike, in order to be compatible with the wikipedia license.
Aims:
- Clean up data in a way that allows longer term trends, global year on year analysis.
- Extract enough detail so that the dataset can serve as labelling/ground truth for GPS interference detection work.
graph TD;
NavCen_Website-->gps_navcen.csv;
Wikipedia--> US_states_iso3166.csv;
Wikipedia--> Sovereign_States.csv;
UNECE-->UN_LOCODE_detail.csv
UNECE-->UN_LOCODE.csv
US_states_iso3166.csv--> two_letter_codes;
UKUS_dataframe--> two_letter_codes;
US_states_iso3166.csv-->coalesced_country;
two_letter_codes-->coalesced_country;
Sovereign_States.csv-->coalesced_country;
UN_LOCODE_detail.csv-->coalesced_country;
UN_LOCODE.csv-->coalesced_country;
gps_navcen.csv-->coalesced_country;