Training on GIS Mapping, Visualization, and Analysis using QGIS

Module 1: Introduction to GIS and QGIS

• Overview of GIS concepts
• Introduction to QGIS interface and features
• Setting up QGIS for the first time
• Case Study: How GIS transformed municipal urban planning
• Practical Exercise: Install QGIS and explore interface components

Module 2: Spatial Data Management

• Types of spatial data (vector and raster)

• Importing and exporting spatial data

• Data sources and data acquisition
  Case Study: Spatial data use in disaster risk mapping
  Practical Exercise: Load different datasets and identify formats in QGIS

Module 3: Creating and Editing Spatial Data

• Digitizing vector data
• Editing and updating spatial features
• Georeferencing raster images
• Case Study: Land parcel boundary digitization for local government
• Practical Exercise: Digitize sample boundaries and update attributes

Module 4: Cartography and Map Design

• Principles of cartography
• Creating thematic maps
• Styling and symbolizing spatial data
• Designing map layouts
• Case Study: Public health heat map used for disease surveillance
• Practical Exercise: Design a thematic map including legend and scale

Module 5: Spatial Analysis Techniques

• Vector analysis (buffer, overlay, spatial join)
• Raster analysis (map algebra, reclassification)
• Network analysis and routing
• Spatial statistics and hot spot analysis
• Case Study: Road network optimization for emergency response
• Practical Exercise: Perform buffer analysis on a sample highway dataset

Module 6: Advanced Visualization Techniques

• 3D visualization of spatial data
• Creating interactive web maps
• Using plugins for extended functionalities
• Case Study: Using 3D GIS for terrain modeling in construction planning
• Practical Exercise: Publish a simple web map using QGIS2Web plugin

Module 7: Applications of QGIS in Various Fields

• Environmental impact assessments
• Public health and epidemiology mapping
• Natural resource management
• Case Study: GIS-based deforestation monitoring project
• Practical Exercise: Analyze land cover change using raster layers

Module 8: Data Quality, Validation & Metadata

• Ensuring accuracy and precision in GIS data
• Spatial data validation techniques
• Metadata creation and documentation standards
• Case Study: Consequences of inaccurate GIS data in flood prediction
• Practical Exercise: Perform quality assessment on sample dataset

Module 9: Integration with Other Systems & Automation

• Importing GPS, Excel, CAD, and Remote Sensing data
• Automating tasks using QGIS Model Builder
• Integrating GIS with external systems and databases
• Case Study: Automating urban infrastructure inspections using GPS + QGIS
• Practical Exercise: Create a basic task automation model in QGIS

Module 10: Project Work & Final Assessment

• Hands-on project to apply learned concepts

• Real-world GIS/QGIS problem-solving

• Presentation of spatial analysis outputs

• Final review and assessment