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Course Outline
1. Introduction to GIS
- Definition of GIS
- Differences between GIS and digital mapping
- Geographic information and spatial data concepts
- Core components of a GIS
- Typical GIS applications
- Comparison of vector and raster data
- Geometric primitives: points, lines, and polygons
- Spatial attributes
- Spatial relationships
- Examples of GIS workflows
2. Getting Started with QGIS
- Installing QGIS
- Overview of QGIS Long-Term Release versions
- Exploring the QGIS user interface
- Using the Browser and Layers panels
- The Map Canvas
- Toolbars and panel management
- Creating and saving QGIS projects
- Project organization and file management strategies
- Understanding project-relative paths
- Loading sample datasets
3. Spatial Data Formats and Data Sources
- Common vector data formats
- Shapefile
- GeoPackage
- GeoJSON
- CSV and delimited text files
- Common raster data formats
- GeoTIFF
- Importing data from local folders and databases
- Understanding open geospatial data standards
- Introduction to online map and data services
- Data licensing and responsible usage practices
4. Coordinate Reference Systems and Projections
- Understanding Coordinate Reference Systems (CRS)
- Geographic vs. projected CRS
- Latitude and longitude coordinates
- EPSG codes
- Managing CRS within QGIS
- Difference between Project CRS and Layer CRS
- Reprojecting data
- On-the-fly CRS transformation
- Common CRS-related errors
- Selecting the appropriate CRS for analysis and mapping
5. Working with Vector Data
- Adding vector layers
- Exploring feature information
- Selecting features
- Identifying specific features
- Filtering data
- Measuring distances and areas
- Creating and editing vector features
- Modifying attributes
- Snapping and basic digitizing techniques
- Safely saving edits
6. Attribute Data Management
- Understanding attribute tables
- Fields and data types
- Sorting and filtering records
- Calculating field values
- Using the Field Calculator
- Working with expressions
- Creating conditional expressions
- Attribute joins
- Joining CSV and other tabular data
- Introduction to table relationships
- Basics of data quality and validation
7. Styling and Visualization
- Basic layer symbology
- Categorized symbology
- Graduated symbology
- Rule-based styling
- Adjusting transparency and blending
- Symbol levels and layer ordering
- Customizing colors and symbols
- Using reusable styles
- Data-driven styling
- Introduction to expression-based symbology
8. Labels and Annotation
- Basic labeling techniques
- Label placement rules
- Label formatting
- Data-defined labels
- Using expressions for dynamic labels
- Managing label priorities and conflicts
- Buffering and text visibility
- Annotation concepts
- Cartographic labeling best practices
9. Basic Geoprocessing and Spatial Analysis
- Understanding geoprocessing
- Buffering
- Clipping
- Intersection
- Union
- Dissolve
- Difference
- Spatial selection
- Extracting features by location
- Combining geoprocessing tools into workflows
- Understanding geometry validity
10. Introduction to Raster Data
- What is raster data?
- Raster structure and resolution
- Loading raster datasets
- Raster visualization techniques
- Color ramps
- Raster statistics
- Identifying raster values
- Basic raster calculations
- Introduction to raster analysis
- Understanding raster resolution and extent
11. Modern QGIS Processing Workflows
- The QGIS Processing Toolbox
- Searching for algorithms
- Understanding processing parameters
- Running repeatable processing operations
- Batch processing
- Reviewing processing history
- Saving and documenting workflows
- Introduction to graphical models
- Building simple, reusable GIS workflows
12. Creating Professional Maps
- Map composition and cartographic principles
- Using the Print Layout
- Map frames
- Titles and text elements
- Legends
- Scale bars
- North arrows
- Grids and coordinate information
- Dynamic map elements
- Using multiple map frames
- Page size and orientation
- Exporting maps to PDF and image formats
- Creating presentation-ready maps
13. Modern QGIS Features and Workflows
- GeoPackage as a modern spatial data container
- Project organization strategies
- Layer styles and reusable configurations
- Expressions and data-defined properties
- Advanced selection and filtering
- Temporal data concepts
- Introduction to 3D visualization
- Introduction to web-based GIS concepts
- Working with online basemaps and services
- Understanding plugins and the QGIS ecosystem
- Basic automation concepts
14. Practical Beginner GIS Project
Participants will complete a practical GIS project that covers the entire workflow:
- Set up a new QGIS project.
- Import vector, raster, and tabular data.
- Verify and manage Coordinate Reference Systems (CRS).
- Explore and clean attribute data.
- Join external tabular information.
- Style layers using categorized and graduated symbology.
- Create labels using expressions.
- Perform buffer, clip, intersect, and dissolve operations.
- Conduct a basic spatial analysis.
- Create a professional print layout.
- Export the final map.
- Save and organize the project and supporting data.
Requirements
- No prior experience with GIS is necessary.
- Participants should be comfortable with basic computer operations, including software installation, folder navigation, and launching applications.
- A general interest in maps, geography, or spatial planning is advantageous.
7 Hours
Testimonials (1)
Learning that the QGIS and a tool that can used by other different professionals such land survey