Training on GIS Mapping and Spatial Analysis for WASH Programmes
Learn to collect, analyze, and map WASH data using GIS tools to improve decision-making and service delivery.
Next intake
20 Jul 2026 · Nakuru
Duration
10 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
Water, Sanitation, and Hygiene (WASH) programs rely heavily on accurate spatial data to inform planning, implementation, and monitoring. Geographic Information Systems (GIS) and spatial analysis provide powerful tools to map infrastructure, assess coverage gaps, monitor service delivery, and support data-driven decision-making.
This 10-day training equips participants with practical skills in GIS mapping, spatial data collection, and analysis, tailored to WASH program needs. Through hands-on exercises, real-world case studies, and interactive sessions, participants will learn how to use GIS for planning, monitoring, and evaluating WASH interventions to improve service access, efficiency, and sustainability.
Duration
10 Days
Who Should Attend
-
WASH program managers and coordinators
-
Monitoring, Evaluation, Accountability, and Learning (MEAL) officers
-
Water resource engineers and planners
-
Public health professionals involved in WASH interventions
-
Data managers, researchers, and policy advisors in development programs
What you'll walk away with
By the end of the course, participants will be able to:
-
Understand GIS principles and their application in WASH program design and evaluation.
-
Collect, manage, and analyze spatial data relevant to water and sanitation services.
-
Create thematic maps to visualize access, infrastructure, and service gaps.
-
Apply spatial analysis to monitor WASH coverage and equity.
-
Use GIS in impact evaluation and decision-support systems for WASH.
What we cover, module by module
Module 1: Introduction to GIS and Its Relevance in WASH
- GIS concepts, spatial data types, and projections
- Role of GIS in WASH planning, monitoring, and evaluation
- Case study: Mapping sanitation access in rural communities
Module 2: Data Collection Methods for WASH Programs
- Mobile tools: ODK, KoboToolbox, GPS devices
- Designing surveys for WASH data collection
- Case study: Using mobile surveys to map water points
Module 3: Data Cleaning, Integration, and Management
- Data validation and cleaning techniques
- Combining spatial and non-spatial datasets
- Case study: Integrating household survey data into GIS
Module 4: Introduction to GIS Tools and Platforms
- Hands-on with QGIS and overview of ArcGIS
- Installing plugins and using open-source datasets
- Case study: OpenStreetMap for rural WASH mapping
Module 5: Mapping WASH Infrastructure and Services
- Creating base maps and thematic maps
- Visualizing service coverage (water points, sanitation facilities)
- Case study: Mapping hygiene services in schools
Module 6: Spatial Analysis for Service Coverage
- Buffer analysis for distance-to-service
- Hotspot and cluster analysis
- Case study: Identifying underserved zones in peri-urban areas
Module 7: Advanced GIS Analysis for WASH Programs
- Overlay and multi-criteria analysis
- Catchment analysis for water resource planning
- Case study: Analyzing competing demands on water resources
Module 8: GIS Dashboards and Visualization
- Building interactive dashboards with Power BI/Tableau + GIS data
- Communicating WASH results to stakeholders
- Case study: Real-time dashboards for donor reporting
Module 9: GIS for Monitoring, Evaluation, and Learning (MEAL)
- Integrating GIS with MEAL frameworks
- Tracking program outcomes using spatial indicators
- Case study: Monitoring sanitation projects through GIS mapping
Module 10: Developing GIS-Based WASH Action Plans
- Applying GIS outputs to strategy and policy development
- Preparing presentations and final project reports
- Capstone exercise: Designing a WASH intervention using GIS insights
Where the change lands
Organisation Impact
-
Improved planning and monitoring of WASH services through GIS-based insights
-
Strengthened data-driven decision-making in WASH program design and implementation
-
Enhanced ability to identify underserved communities and allocate resources effectively
-
Increased efficiency in reporting and compliance with donor and government requirements
Individual Impact
-
Proficiency in GIS mapping tools and spatial data analysis for WASH projects
-
Ability to integrate field-collected data with GIS systems for program reporting
-
Enhanced skills in visualizing and presenting WASH-related data
-
Greater professional competitiveness in data-driven development programming
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 07 Aug 2026 | In-Person | Book |
- NakuruNext
20 Jul → 31 Jul·In-Person
Book this intake - Kigali
20 Jul → 31 Jul·In-Person
Book this intake - Accra
20 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 07 Aug·In-Person
Book this intake - Johannesburg
27 Jul → 07 Aug·In-Person
Book this intake - Dakar
27 Jul → 07 Aug·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid10 daysLearn AI and computer vision for urban growth monitoring and informal settlement mapping using satellite imagery, GIS, deep learning, and spatial analytics.
Hybrid10 daysLearn AI-powered disaster damage assessment using satellite imagery, machine learning, GIS, and remote sensing for rapid response and recovery planning.
Hybrid10 daysLearn AI-powered water body and flood extent mapping using SAR data, machine learning, GIS, and remote sensing for disaster management and water resources.
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on GIS Mapping and Spatial Analysis for WASH Programmes in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.