Client & Workforce Distribution Mapping Using GIS (Switzerland)
A GIS strategy map for a Swiss cleaning services company, visualising client locations and workforce distribution to optimise service areas and operations.
Understanding the spatial relationship between clients and workforce is critical for operational efficiency and service optimization. In this project, Spatial Nexus developed a comprehensive GIS-based strategy map for a cleaning services company in Switzerland, enabling clear visualization of client locations and employee distribution.
The objective was to transform raw operational data into an intelligent geospatial framework that supports data-driven decision-making and service area optimization.
Riyadh Postcode Boundary Mapping for Smart City and Last-Mile Delivery GIS
Mapping postal code boundaries across metropolitan Riyadh as clean GIS and GeoJSON layers for logistics, last-mile delivery and smart city applications.
Mapping postal code boundaries across metropolitan Riyadh as clean GIS and GeoJSON layers for logistics, last-mile delivery and smart city applications.
Delivery and planning teams needed postcode zones as usable GIS boundaries, not static images.
Boundaries had to align with the street network and avoid gaps or overlaps.
Data had to work in web maps and routing tools.
OBJECTIVES
What the project set out to do
Create a complete postcode boundary layer for metropolitan Riyadh.
Ensure clean topology with no gaps or overlaps.
Deliver the layer in GIS and GeoJSON formats for web use.
Methodology
Our workflow, step by step
01
Reference collection
Postcode reference material and the street network were gathered for the metropolitan area.
02
Boundary digitising
Postcode zones were digitised along streets and natural boundaries over satellite imagery.
03
Topology checks
Rules removed gaps, overlaps and slivers between adjacent zones.
04
Attribution
Each polygon received its postcode and descriptive attributes.
05
Export and mapping
Layers were exported to GeoJSON and Shapefile and a reference map was produced.
Visual output
The map
Spatial Nexus map output. Select the image to view it at full size.
Results
What the analysis delivered
A seamless postcode boundary layer covering metropolitan Riyadh.
Web-ready GeoJSON for interactive maps and routing platforms.
A clear reference map showing postcode zones over imagery.
Key highlights
Why this project stands out
City-scale boundary mapping
Topologically clean polygons
GeoJSON for web GIS
Ready for logistics and routing
Data sources
Data used
Postcode reference information
High-resolution satellite basemap
Road and street network
Tools and technologies
Software and methods
ArcGIS ProBoundary digitising, topology and cartography
QGISData validation and GeoJSON export
Satellite basemapReference for boundary alignment
Global Mapper
Deliverables
What the client received
Postcode boundary layer (GeoJSON and Shapefile)
Reference map (PDF and PNG)
Attribute data dictionary
WHY IT MATTERS
Accurate postcode boundaries let logistics companies assign delivery zones, plan routes and analyse demand, and give city planners a consistent spatial reference.
FAQ
Questions about this project
What is GeoJSON?
An open, lightweight format for geographic data that works directly in web maps such as Leaflet, Mapbox and ArcGIS Online.
Can the boundaries be used for routing?
Yes. Zones can be combined with road networks to assign deliveries and plan routes.
Can you map postcodes for other cities?
Yes. The same workflow applies to any city with postcode reference information.
