1. Introduction to GIS and Its Applications
Fundamentals of GIS
What is GIS?
Key components: Data, hardware, software, and methods
Role of GIS in M&E activities
GIS Software Overview and Tools
Introduction to GIS software (e.g., QGIS, ArcGIS)
Overview of key functionalities
Working with GIS Data
Data types: Raster and vector
Sources of GIS data
Data collection techniques
Exploring GIS Software
Navigating the interface
Basic data import and visualization
2. Data Management and Mapping Essentials
Data Preparation and Management
Cleaning and organizing GIS data
Using metadata to enhance data understanding
Mapping Essentials
Creating thematic maps
Basic cartography principles
Practical Exercise: Mapping a Sample Project
Participants create a project map showing key indicators
Adding layers and symbology
3. Spatial Analysis Techniques
Introduction to Spatial Analysis
What is spatial analysis?
Key concepts: Buffering, overlays, and spatial joins
Application of Spatial Analysis in M&E
Examples of spatial analysis in project monitoring
Identifying trends and patterns
Practical Exercise: Conducting Spatial Analysis
Analyzing project coverage and impact
Generating reports from analysis results
Case Study: Analyzing Real-World Project Data
4. GIS for Decision-Making and Reporting
Using GIS for Monitoring and Evaluation
Linking GIS outputs to M&E indicators
Storytelling through maps
GIS in Decision-Making
Using GIS insights to prioritize resources
Scenario planning and predictive analysis
Map Design for Reporting
Designing maps for presentations and reports
Exporting maps in various formats
Practical Exercise: Preparing a GIS Report
5. Advanced Techniques
Advanced GIS Techniques
Introduction to geostatistics
Automating tasks with GIS tools (e.g., ModelBuilder)
