📊 Spatial Data Processing Pipeline

Automated GIS data ingestion, processing, and visualization workflow

2.4M
Records Processed
47
Processing Steps
3.2s
Avg Response Time
99.7%
Data Accuracy

📈 Data Processing Throughput

🗺️ Spatial Data Types Distribution

⚡ Performance Metrics

🎯 Quality Assurance

🔄 Automated Processing Pipeline

1

Data Ingestion

Batch import from PostgreSQL/PostGIS, shapefiles, GeoJSON sources

~2.1s
2

Coordinate Transformation

EPSG reprojection (WGS84 ↔ UTM) and datum conversion

~0.8s
3

Spatial Validation

Topology checks, boundary validation, duplicate removal

~1.5s
4

Attribute Enrichment

Join demographic data, calculate area/perimeter, spatial indexing

~2.3s
5

Visualization Export

Generate map tiles, export to Leaflet/Mapbox, create thumbnails

~1.8s

🛠️ Tech Stack

Python 3.11 PostGIS GeoPandas Shapely Fiona QGIS ArcGIS Pro Leaflet.js Mapbox GL Docker PostgreSQL Redis Apache Airflow GDAL/OGR OpenStreetMap