https://github.com/stelios-c/gps_analysis

Analysis of GPS interruption data in public domain
https://github.com/stelios-c/gps_analysis

data-analysis electronic-warfare gps gps-quality jamming jupyter-notebook osint pandas python spoofing web-scraping

Last synced: about 16 hours ago
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Analysis of GPS interruption data in public domain

• Host: GitHub
• URL: https://github.com/stelios-c/gps_analysis
• Owner: stelios-c
• License: cc-by-sa-4.0
• Created: 2022-06-23T20:41:08.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-21T07:42:21.000Z (18 days ago)
• Last Synced: 2024-10-22T16:16:52.724Z (17 days ago)
• Topics: data-analysis, electronic-warfare, gps, gps-quality, jamming, jupyter-notebook, osint, pandas, python, spoofing, web-scraping
• Language: Jupyter Notebook
• Homepage:
• Size: 16.4 MB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# GPS_analysis

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.

# License status of source data

At the time of writing, [wikipedia](https://www.wikipedia.org/) is available under the Creative Commons Attribution-ShareAlike 3.0 License. The [Navigation Center of the United States Coast Guard](https://www.navcen.uscg.gov/) does not have a copyright or license statement on their website. The data is scraped as 'fair use'. The [UNECE](https://unece.org/) 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.

# Roadmap

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.  

# Data Model:  

```mermaid

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;

    

 ```