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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

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