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| 1 | +# LinkedIn Post — GeoQA Launch |
| 2 | + |
| 3 | +--- |
| 4 | + |
| 5 | +## Post Text |
| 6 | + |
| 7 | +I'm excited to share **GeoQA** — an open-source Python package I built for **geospatial data quality assessment and interactive profiling**. |
| 8 | + |
| 9 | +As a GIS developer, I kept running into the same frustrating question: *"Is this geodata good enough to use?"* — and there was no quick, automated way to answer it. |
| 10 | + |
| 11 | +So I built GeoQA. |
| 12 | + |
| 13 | +**What it does:** |
| 14 | + |
| 15 | +- Profiles any vector dataset (Shapefile, GeoJSON, GeoPackage) with a single function call |
| 16 | +- Computes an overall **quality score (0–100)** based on geometry validity, attribute completeness, and CRS |
| 17 | +- Detects **invalid, empty, and duplicate geometries** automatically |
| 18 | +- Generates **interactive web maps** with quality-issue highlighting |
| 19 | +- Produces **self-contained HTML quality reports** with charts, tables, and spatial statistics |
| 20 | + |
| 21 | +**What makes it unique:** |
| 22 | + |
| 23 | +GeoQA is like **ydata-profiling** — but purpose-built for geodata. It understands geometry types, coordinate systems, spatial topology, and the real-world data problems that GIS professionals deal with daily. |
| 24 | + |
| 25 | +**It also powers the pre-check module in OVC (Overlap Violation Checker)** — my other open-source tool for detecting overlapping buildings, road conflicts, and topological errors. Before OVC runs its spatial QC pipeline, GeoQA profiles every input dataset to catch fundamental issues early — missing CRS, invalid geometries, empty features — saving compute time and giving clear diagnostics upfront. |
| 26 | + |
| 27 | +Together, GeoQA + OVC form a **complete geospatial quality control workflow**: GeoQA assesses data readiness, and OVC performs deep spatial validation. |
| 28 | + |
| 29 | +**Who is this for?** |
| 30 | + |
| 31 | +- GIS Analysts validating shapefiles before analysis |
| 32 | +- Urban Planners checking building and road datasets |
| 33 | +- Survey Engineers ensuring geometry integrity |
| 34 | +- Data Engineers building geospatial ETL pipelines |
| 35 | +- Government agencies auditing cadastral and infrastructure data |
| 36 | +- Academic researchers profiling geodata for publications |
| 37 | +- Anyone working with vector geospatial data who wants automated quality checks |
| 38 | + |
| 39 | +Both tools are **free, open-source, and MIT-licensed**. |
| 40 | + |
| 41 | +**Try it:** |
| 42 | +- GeoQA on PyPI: https://pypi.org/project/geoqa/ |
| 43 | +- GeoQA on GitHub: https://github.com/AmmarYasser455/geoqa |
| 44 | +- OVC on GitHub: https://github.com/AmmarYasser455/ovc |
| 45 | + |
| 46 | +I'd love to hear your feedback — try it on your own datasets and let me know what you think! |
| 47 | + |
| 48 | +--- |
| 49 | + |
| 50 | +## Recommended Media (attach to post) |
| 51 | + |
| 52 | +1. **Screenshot of `profile.summary()`** — the rich-formatted terminal output showing dataset overview, quality score, and geometry checks |
| 53 | +2. **Screenshot of the interactive Folium web map** — showing quality-highlighted features (valid in blue, issues in red) |
| 54 | +3. **Screenshot of the HTML quality report** — the gradient header with quality score badge, overview cards, and charts |
| 55 | +4. **Screenshot of OVC + GeoQA working together** — the pre-check output showing data readiness assessment before QC |
| 56 | +5. **A short GIF or video** (60–90 seconds) showing the full workflow: profile → map → report in Jupyter |
| 57 | + |
| 58 | +> Tip: LinkedIn favors **carousel posts (PDF)** and **native video**. Consider combining 3–4 screenshots into a carousel PDF for higher engagement. |
| 59 | +
|
| 60 | +--- |
| 61 | + |
| 62 | +## Hashtags |
| 63 | + |
| 64 | +#GIS #Geospatial #Python #OpenSource #DataQuality #GeoQA #OVC |
| 65 | +#GeoPandas #Mapping #SpatialData #GISDev #UrbanPlanning |
| 66 | +#OpenData #DataScience #QualityAssurance #QualityControl |
| 67 | +#SurveyEngineering #DataEngineering #WebMapping #Cartography |
| 68 | +#RemoteSensing #SpatialAnalysis #BuildingData #RoadNetwork |
| 69 | +#GISProfessionals #PythonDev #FOSS4G #Leaflet #Folium |
| 70 | + |
| 71 | +--- |
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