Riyadh Metropolitan Postcode & Geospatial Boundary Mapping
1. Overview
High-precision digital frameworks are the foundation of modern urban intelligence. We developed an accurate dataset of Riyadh’s postal zones to support the city’s digital transformation.
2. The Challenge
Inconsistent boundary data led to logistics inefficiencies. The client required a clean, “web-ready” dataset for app integration and urban planning.
3. Our Solution
We digitized 100+ postal sectors with strict topology rules to ensure zero gaps or overlaps, delivering the data in GeoJSON and KML formats.
4. The Impact
This project serves as a critical layer for “last-mile” delivery and smart city location-based services (LBS).
Quick Facts
Tools: ArcGIS Pro, AutoCAD | Focus: Urban Data Infrastructure
Sustainable Urban Mobility: Advanced Bike Route Analysis
1. Overview
Smart cities require multi-modal, eco-friendly transport networks. We modeled optimal cycling paths to improve urban mobility.
2. The Challenge
Urban “barriers” like steep slopes and high-traffic roads prevent citizens from choosing sustainable transport.
3. Our Solution
Using ArcGIS Network Analyst, we built a Terrain-Aware Routing model that prioritizes flat, safe, and connected paths.
4. The Impact
Provided city planners with a data-driven blueprint for a cycling network that encourages healthy, carbon-neutral commuting.
Quick Facts
Tools: ArcGIS Pro Network Analyst | Focus: Smart Mobility.
Advanced Remote Sensing & Satellite Analytics
1. Overview
Monitoring Earth’s surface changes with high precision is vital for tracking urban and natural transformations.
2. The Challenge
Identifying the most reliable method to classify complex land features with high accuracy.
3. Our Solution
We conducted a technical comparison between Supervised (GEE) and Unsupervised (ArcGIS) classification methods using multi-spectral imagery.
4. The Impact
Established a 90%+ accuracy workflow for clients to monitor urban sprawl, deforestation, and land-use changes.
Quick Facts
Tools: Google Earth Engine (GEE), ArcGIS Pro| Focus: Machine Learning & Image Analytics.