GIS and Data Analysis For WASH Projects Course

Comprehensive Approach to Water Management with GIS and RS

This course on GIS and Data Analysis For WASH projects offers a comprehensive understanding of how Geographical Information Systems (GIS) and Remote Sensing (RS) can be applied to improve water management. Participants will gain valuable skills in evaluating spatial data requirements, using GIS and RS for monitoring Water, Sanitation, and Hygiene (WASH) activities, and implementing projects that integrate various data sources into a cohesive geospatial framework. If you're eager to enhance your expertise in using GIS and RS for effective water management, this course is crafted for you!

Target Audience 

This training is ideal for:

• WASH specialists
• Monitoring and Evaluation (M&E) experts
• Public health professionals
• Program managers
• Students and risk assessors
• Water engineers

If you're looking to elevate your skills in GIS and RS for water management, this course is tailored to your needs!

Course Objectives 

By the end of this course, participants will be able to:

• Evaluate spatial data requirements specific to WASH.
• Utilize GIS and RS as tools for monitoring WASH project activities.
• Assess and leverage spatial data availability.
• Understand the importance of Spatial Data Infrastructure (SDI) in WASH programs.
• Implement participatory GIS (PGIS) at the community level.
• Conduct water and sanitation modeling using GIS.
• Collect data using mobile data gathering tools.
• Perform basic data analysis using statistical software.
• Design and implement GIS projects integrating remote sensing data and GPS-based field information.

Course Outline 

Module 1: Introduction to GIS and WASH Concepts

• Key Concepts Overview: Gain a clear understanding of fundamental WASH and GIS principles.
• GIS Software (QGIS): Learn about the components and capabilities of QGIS.
• Spatial Data Infrastructure in WASH: Discover the importance and integration techniques.
• Field Exercises: Engage in hands-on GPS data collection in WASH contexts.

Module 2: GIS Data Management

• Data Sources and Management: Explore working with GIS data, attributes manipulation, and database creation.
• Practical Exercises: Manage spatial databases and use Geo-databases effectively.

Module 3: Map Development and Presentation

• GIS Mapping Techniques: Master styling, symbolization, and resource mapping.
• Practical Exercises: Create and present maps using project data.
• Case Studies: Delve into GIS applications in water quality testing and monitoring.

Module 4: Participatory GIS and WASH

• Community Engagement: Utilize mobile phones for data collection and conduct multi-criteria analysis.
• Case Study: Monitor WASH projects with GIS and remote sensing.

Module 5: Statistical Data Analysis for WASH

• Excel for Data Management: Learn data manipulation and analysis techniques.
• Statistical Analysis: Conduct descriptive statistics, regression analysis, and ensure data quality reporting.