The Problem GIS Solves
For much of the past two decades, infrastructure planning in sub-Saharan Africa has been hampered by the same fundamental challenge: decision-makers lack reliable, current, geographically referenced data about what exists, where it is, what condition it's in, and who it serves.
This isn't a technology problem — it's a data governance and institutional capacity problem. Many countries have partial inventories, often maintained in disconnected spreadsheets, paper registers, or legacy systems that don't talk to each other. The result is that major investment decisions — which road to rehabilitate, which clinic to upgrade, which water system to prioritise — are made on the basis of incomplete or outdated information.
"The most expensive infrastructure decision is the one made without knowing what you already have."
GIS databases don't just map infrastructure. When built correctly, they integrate spatial location with condition data, service delivery metrics, population catchment information, and investment history — creating a single analytical platform from which evidence-based decisions can be made at any level of government.
Tanzania: A National-Scale Example
Between 2017 and 2021, Anchoreach led the development of what became Tanzania's first comprehensive national health facility GIS database, covering all facilities across 12 mainland regions.
The scope of the work was significant: over 6,000 facilities assessed, geo-referenced, and classified by level, functional status, infrastructure condition, equipment availability, and service provision. The resulting database was integrated directly into the Ministry of Health's planning systems and has since been used to inform:
- Annual health sector capital investment plans
- World Bank-financed facility upgrade programmes
- Emergency response logistics during COVID-19
- Community health worker deployment decisions
- Equity analysis for underserved catchment identification
The database is updated annually and has become an institutional asset — not a one-off deliverable. This is the critical distinction between a GIS project and a GIS capability.
The Technical Architecture
Building a reliable national infrastructure database requires more than deploying surveyors with GPS devices. The architecture we developed for the Tanzania health database included:
Data Collection Layer
Mobile data collection using KoBoToolbox forms with embedded GPS capture, field validation rules, and offline capability for areas with poor connectivity. All collected data was automatically synchronised to a central cloud server on connection.
Processing and Quality Assurance Layer
Every submitted record underwent automated quality checks (coordinate plausibility, completeness thresholds, duplicate detection) before being reviewed by our GIS analysts. Records failing automated checks were flagged for field re-visit before acceptance.
Integration and Visualisation Layer
The processed database was integrated into a QGIS-based analytical environment used by MoH planners, and a web-based dashboard built on open-source tools for wider stakeholder access. The database schema was designed for compatibility with the DHIS2 system already used by the MoH for routine health data.
What Makes GIS Data Actually Useful
Our experience has taught us that the technical aspects of building a GIS database — while complex — are the easier part. The harder work is ensuring the data is actually used. Three factors determine whether a GIS investment creates lasting value:
1. Institutional Ownership
The database must be owned, managed, and updated by the institution that needs it — not by a consultant. Our approach embeds capacity transfer into every GIS engagement: training internal teams, documenting protocols, and establishing update cycles before project close.
2. Integration with Decision Processes
Data that exists in isolation from planning processes has no impact. We work with clients to identify the specific decisions they need to make and design the database schema, analytical views, and reporting outputs to directly serve those decisions.
3. Sustainability of Update Mechanisms
Infrastructure changes. New facilities are built. Roads deteriorate. The value of a GIS database diminishes rapidly if it isn't updated. Designing a sustainable update mechanism — whether through annual surveys, remote sensing monitoring, or crowdsourced reporting — is as important as the initial data collection.
Applications Beyond Health
The same methodology applied to Tanzania's health sector GIS has been adapted for transport, WASH, and energy projects across our portfolio. In our road condition survey work, GIS integration allows condition data to be linked directly to traffic volumes, economic corridor analysis, and climate vulnerability assessments — producing a prioritisation framework that no amount of spreadsheet analysis could replicate.
For WASH programming, geospatial analysis of water point distribution against population density and hydrology data reveals service gaps and informs borehole siting decisions with a level of rigour previously unavailable to district-level planners.
What's Next
The next frontier for infrastructure GIS in East Africa is real-time monitoring integration. Sensor networks, satellite-derived change detection, and community reporting apps are creating opportunities to maintain continuously updated infrastructure datasets at a fraction of the cost of periodic surveys.
Anchoreach is currently piloting change-detection workflows using Sentinel-2 satellite imagery to flag potential road deterioration events in our transport survey areas — an approach that, if validated, could fundamentally change the economics of infrastructure monitoring at national scale.
The technology exists. The challenge, as always, is building the institutional systems to put it to work.
