A lot of projects and programs have failed to have the impacts they were designed to have because they did not incorporate GIS in their project operations. A geographical information system (GIS) is a collection of hardware software, and procedures to collect, manage, retrieve, manipulate, analyze and display spatial data. This training workshop will equip participants with the ability to perform multi criteria analysis of WASH, model wash projects, identify Most at Risk Populations, use GIS as a monitoring tool for WASH activities in line with SPHERE minimum standards.

• Use GIS as a monitoring tool for WASH projects activities
• Familiarize with spatial data availability
• Appreciate the role of Spatial Data Infrastructure (SDI) in WASH programs
• Use participatory GIS (PGIS) at community level
• Conduct water and sanitation modeling using GIS
• ACollect data using Mobile data gathering tools
• Carry out basic data analysis using statistical software’s
• AIntegrate GIS within new and existing WASH activities.

1. Improved Data-Driven Decision-Making: By equipping employees with GIS skills specific to the WASH sector, organizations can enhance their ability to make data-driven decisions. GIS analysis enables the integration and visualization of spatial data, allowing for better understanding of WASH challenges, identification of service gaps, and informed decision-making for resource allocation and planning.
2. Enhanced Project Planning and Management: The course provides participants with GIS tools and techniques to effectively plan and manage WASH projects. Organizations can utilize GIS analysis to optimize water supply and distribution systems, identify suitable locations for sanitation facilities, and assess the potential impact of interventions. This leads to more efficient and targeted project planning, resulting in improved project outcomes and cost-effectiveness.
3. Increased Efficiency in Monitoring and Evaluation: GIS enables organizations to monitor and evaluate WASH interventions more effectively. By incorporating GIS analysis into monitoring and evaluation processes, organizations can track progress, measure impact, and identify areas for improvement. This leads to improved accountability, evidence-based reporting, and enhanced project outcomes.
4. Spatial Awareness and Risk Assessment: GIS analysis helps organizations develop a spatial understanding of WASH-related risks and vulnerabilities. By visualizing and analyzing spatial data, organizations can identify areas prone to water contamination, map disease hotspots, and assess the impact of environmental factors on WASH infrastructure. This facilitates proactive risk management, targeted interventions, and improved resilience in the face of challenges.
5. Effective Resource Allocation: GIS analysis enables organizations to optimize resource allocation for WASH initiatives. By identifying areas with the greatest need or underserved populations, organizations can prioritize resource allocation accordingly. This leads to more equitable distribution of resources and improved effectiveness in addressing WASH challenges.

The GIS Analysis in Water Sanitation and Hygiene (WASH) course is designed for professionals and individuals working in or aspiring to work in the field of water sanitation and hygiene, with a specific focus on utilizing GIS for analysis.

5 – 10 days

However, the duration can be adjusted based on the specific needs and pace of the participants.

Module 1: Introduction to GIS in WASH

• Understanding the role of GIS in water sanitation and hygiene
• Overview of geospatial data sources and types relevant to WASH
• Introduction to GIS software and tools for WASH analysis
• Ethical considerations and data privacy in GIS applications

Module 2: Spatial Data Collection for WASH

• Techniques for collecting and managing spatial data in WASH projects
• Georeferencing and data integration for WASH analysis
• Field data collection using mobile devices and GPS technology
• Quality control and validation of spatial data in WASH projects

Module 3: GIS Mapping for WASH Projects

• Principles of cartography and map design for WASH
• Creating thematic maps for water sources, sanitation facilities, and hygiene practices
• Visualizing spatial patterns and trends in WASH data
• Overlay analysis and spatial interpolation techniques for WASH planning

Module 4: Spatial Analysis in WASH

• Spatial analysis techniques for identifying WASH service gaps and disparities
• Hotspot analysis and cluster detection for disease surveillance and risk assessment
• Network analysis for optimizing water supply and distribution systems
• Modeling water contamination and pollutant transport using GIS

Module 5: WASH Planning and Decision Support

• Spatial decision support systems (SDSS) for WASH planning
• Multi-criteria decision analysis (MCDA) for site selection and resource allocation
• Scenario modeling and impact assessment in WASH projects
• Integration of GIS with other data management systems in WASH planning

Module 6: GIS for Monitoring and Evaluation in WASH

• Monitoring WASH interventions using GIS
• Spatial-temporal analysis for assessing project impact and sustainability
• Developing WASH indicators and dashboards
• Reporting and communicating WASH data using GIS visualizations

Course Project: Participants will work on a GIS analysis project related to WASH, applying the concepts and techniques learned throughout the course. This project will involve data collection, analysis, mapping, and presentation of findings.

Note: The course duration and depth of each module can vary depending on the specific training needs and available time for the course.

The GIS Analysis in Water Sanitation and Hygiene (WASH) course aims to equip participants with the knowledge and skills necessary to utilize GIS effectively in WASH projects. Through a combination of theoretical lessons, hands-on exercises, and a course project, participants will learn to collect, analyze, map, and interpret geospatial data to support evidence-based decision-making, planning, monitoring, and evaluation in the WASH sector.