01
PostGIS Spatial Database Design
Configured PostgreSQL with PostGIS geometry types and spatial indexing (GIST) to make boundary lookups and polygon intersection queries fast.
./GIS & Backend Architecture/Backend & GIS Architect
Managing government property boundaries with spatial data in PostGIS.
A spatial mapping system that helps municipal teams upload land records, view boundaries, and run area queries on interactive maps.
- My Role
- Backend & Spatial Data Architect
- Focus
- PostGIS geometry pipelines, spatial queries & RESTful APIs
- Project Type
- Government Enterprise GIS
- Timeline
- Production Delivery
Spatial Query Latency
<150ms
Coordinate Accuracy
Sub-meter
Database Scaling
High Concurrency
Data Integrity
100% Validated
[01] The Challenge
Operational bottlenecks & constraints.
Handling complex polygon coordinate files without slowing down database queries.
Validating uploaded boundary files to catch overlapping lines or incorrect coordinate systems.
Giving non-technical government staff a clear web map interface to inspect property limits.
[02] Engineering Contribution
Key architectural breakthroughs delivered.
02
File Upload & Conversion Pipeline
Built Node.js API endpoints to accept Shapefiles and GeoJSON data, validating coordinate projections before saving.
03
Area Analysis Tools
Created API queries that calculate exact property square footage and check for boundary conflicts with nearby plots.
[04] Systems Architecture
Data flow & service topology.
01.Node.js API microservice with spatial parsing middleware
02.PostgreSQL database with PostGIS geometry & geography engines
03.GIST spatial indexing for ultra-fast boundary intersection checks
04.GeoJSON and WKT transformation pipeline supporting global CRS projections
[05] Delivered Artifacts
- High-performance Node.js geospatial REST API
- Optimized PostGIS database schema with spatial indices
- Shapefile / GeoJSON upload and geometry normalization pipeline
- Area analysis endpoints for web-based GIS map visualization
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