{"id":18719816,"url":"https://github.com/stelios-c/gps_analysis","last_synced_at":"2025-04-12T14:10:35.250Z","repository":{"id":38977344,"uuid":"506785410","full_name":"stelios-c/GPS_analysis","owner":"stelios-c","description":"Analysis of GPS interruption data in public domain","archived":false,"fork":false,"pushed_at":"2025-03-10T09:21:41.000Z","size":17505,"stargazers_count":2,"open_issues_count":12,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T08:47:36.577Z","etag":null,"topics":["data-analysis","electronic-warfare","gps","gps-quality","jamming","jupyter-notebook","osint","pandas","python","spoofing","web-scraping"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-sa-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stelios-c.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-23T20:41:08.000Z","updated_at":"2025-03-10T09:21:45.000Z","dependencies_parsed_at":"2025-02-12T20:40:56.019Z","dependency_job_id":null,"html_url":"https://github.com/stelios-c/GPS_analysis","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stelios-c%2FGPS_analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stelios-c%2FGPS_analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stelios-c%2FGPS_analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stelios-c%2FGPS_analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stelios-c","download_url":"https://codeload.github.com/stelios-c/GPS_analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248578872,"owners_count":21127713,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","electronic-warfare","gps","gps-quality","jamming","jupyter-notebook","osint","pandas","python","spoofing","web-scraping"],"created_at":"2024-11-07T13:28:02.029Z","updated_at":"2025-04-12T14:10:35.226Z","avatar_url":"https://github.com/stelios-c.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# GPS_analysis\nAnalysis 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.\n\n# License status of source data\nAt 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.\n\n# Roadmap\nAims:\n- Clean up data in a way that allows longer term trends, global year on year analysis.\n- Extract enough detail so that the dataset can serve as labelling/ground truth for GPS interference detection work.  \n\n# Data Model:  \n```mermaid\ngraph TD;\n    NavCen_Website--\u003egps_navcen.csv;\n    Wikipedia--\u003e US_states_iso3166.csv;\n    Wikipedia--\u003e Sovereign_States.csv;\n    UNECE--\u003eUN_LOCODE_detail.csv\n    UNECE--\u003eUN_LOCODE.csv\n    US_states_iso3166.csv--\u003e two_letter_codes;\n    UKUS_dataframe--\u003e two_letter_codes;\n    US_states_iso3166.csv--\u003ecoalesced_country;\n    two_letter_codes--\u003ecoalesced_country;\n    Sovereign_States.csv--\u003ecoalesced_country;\n    UN_LOCODE_detail.csv--\u003ecoalesced_country;\n    UN_LOCODE.csv--\u003ecoalesced_country;\n    gps_navcen.csv--\u003ecoalesced_country;\n    \n ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstelios-c%2Fgps_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstelios-c%2Fgps_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstelios-c%2Fgps_analysis/lists"}