{"id":26229968,"url":"https://github.com/kartai/kaidata_geolake","last_synced_at":"2026-07-08T10:31:15.185Z","repository":{"id":281178341,"uuid":"916067911","full_name":"kartAI/kaidata_geolake","owner":"kartAI","description":"\"KAI-data\": Geografisk data og utveksling med Delta Lake og Delta Sharing","archived":false,"fork":false,"pushed_at":"2025-05-14T11:58:06.000Z","size":18064,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-14T12:56:05.575Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kartAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"zenodo":null}},"created_at":"2025-01-13T11:52:12.000Z","updated_at":"2025-05-14T11:58:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"6111bbb5-9175-41b2-aea7-c7a0ef475b51","html_url":"https://github.com/kartAI/kaidata_geolake","commit_stats":null,"previous_names":["kartai/kaidata_geolake"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kartAI/kaidata_geolake","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kartAI%2Fkaidata_geolake","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kartAI%2Fkaidata_geolake/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kartAI%2Fkaidata_geolake/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kartAI%2Fkaidata_geolake/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kartAI","download_url":"https://codeload.github.com/kartAI/kaidata_geolake/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kartAI%2Fkaidata_geolake/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35262336,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-08T02:00:06.796Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-03-12T22:18:42.605Z","updated_at":"2026-07-08T10:31:15.173Z","avatar_url":"https://github.com/kartAI.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# kai_data_geolake\n\nbachelorprosjekt 2025\n\n\"KAI-data\": Geografisk data og utveksling med Delta Lake og Delta Sharing\n\nDenne readme er generert med chatgpt.\n\n## 📘 Geodata-analyse med GeoPandas, DuckDB og Databricks\n\nDette prosjektet består av Jupyter Notebooks utviklet for behandling, filtrering og visualisering av geografiske data (AR50 og AIS). Verktøyene tar i bruk ulike teknologier som GeoPandas, DuckDB og Apache Spark (Databricks).\n\n---\n\n### 📂 Innhold\n\n| Notebook | Datasett |\n|----------|-----------|\n| `u1_geopandas.ipynb`, `u2_geopandas.ipynb`, `DuckDB.ipynb` `Databricks.ipynb`, `Setup_AIS_Databricks.ipynb` | AIS |\n| `Geopandas.ipynb`, `DuckDB.ipynb` `Databricks.ipynb`, `Setup_AR50_Databricks.ipynb` | AR50 | Spatial spørring og simulert strømming av AR50-data |\n\n\n---\n\n## 🚀 Kom i gang\n\n### 📦 Avhengigheter\n\nInstaller nødvendige pakker for lokal kjøring:\n\n```bash\npip install requirements.txt\n```\n\nDatabricks-miljø krever:\n- Apache Spark\n- Sedona for geodata\n- DASK-governance-modul (ved behov)\n\n---\n\n### 🗂️ Kjøring av notatbøker\n\n1. Last opp nødvendige filer i mappen `data/raw`\n2. Kjør alle celler i rekkefølge\n3. Resultater og visualiseringer lagres i `data/processed` eller vises i kart/Tabell\n\n---\n\n## ✅ Brukerhistorier\n\nEr beskrevet i alle notebookene.\n\n---\n\n## 📊 Visualisering\n\nVerktøyene inkluderer interaktive kart (Folium) og widgets for brukervennlig datatilgang og filtrering.\n\n---\n\n## 📄 Lisens\n\nDette prosjektet er utviklet som del av et bachelorprosjekt og distribueres for utdanningsformål.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkartai%2Fkaidata_geolake","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkartai%2Fkaidata_geolake","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkartai%2Fkaidata_geolake/lists"}