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Course Outline

1. Introduction to GIS

  • What is GIS?
  • GIS versus digital mapping
  • Geographic information and spatial data
  • Core components of a GIS
  • Common GIS applications
  • Vector versus raster data
  • Points, lines, and polygons
  • Spatial attributes
  • Spatial relationships
  • Examples of GIS workflows

2. Getting Started with QGIS

  • Installing QGIS
  • Understanding QGIS Long-Term Release versions
  • Exploring the QGIS interface
  • Browser and Layers panels
  • Map Canvas
  • Toolbars and panels
  • Creating and saving QGIS projects
  • Project organization and file management
  • Understanding project-relative paths
  • Loading sample datasets

3. Spatial Data Formats and Data Sources

  • Common vector formats
  • Shapefile
  • GeoPackage
  • GeoJSON
  • CSV and delimited text files
  • Common raster formats
  • GeoTIFF
  • Loading data from folders and databases
  • Understanding open geospatial data
  • Introduction to online map and data services
  • Data licensing and responsible use

4. Coordinate Reference Systems and Projections

  • What is a Coordinate Reference System?
  • Geographic versus projected CRS
  • Latitude and longitude
  • EPSG codes
  • Understanding CRS in QGIS
  • Project CRS versus layer CRS
  • Reprojecting data
  • On-the-fly CRS transformation
  • Common CRS mistakes
  • Choosing an appropriate CRS for analysis and mapping

5. Working with Vector Data

  • Adding vector layers
  • Exploring feature information
  • Selecting features
  • Identifying features
  • Filtering data
  • Measuring distances and areas
  • Creating and editing vector features
  • Editing attributes
  • Snapping and basic digitizing
  • Saving edits safely

6. Attribute Data Management

  • Understanding attribute tables
  • Fields and data types
  • Sorting and filtering records
  • Calculating field values
  • Field Calculator
  • Expressions
  • Creating conditional expressions
  • Attribute joins
  • Joining CSV and tabular data
  • Introduction to table relationships
  • Data quality and validation basics

7. Styling and Visualization

  • Basic layer symbology
  • Categorized symbology
  • Graduated symbology
  • Rule-based styling
  • Transparency and blending
  • Symbol levels and layer ordering
  • Custom colors and symbols
  • Reusable styles
  • Data-driven styling
  • Introduction to expression-based symbology

8. Labels and Annotation

  • Basic labeling
  • Label placement
  • Label formatting
  • Data-defined labels
  • Expressions for dynamic labels
  • Label priorities and conflicts
  • Buffering and text visibility
  • Annotation concepts
  • Cartographic labeling best practices

9. Basic Geoprocessing and Spatial Analysis

  • Understanding geoprocessing
  • Buffer
  • Clip
  • Intersect
  • 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
  • Color ramps
  • Raster statistics
  • Identifying raster values
  • Basic raster calculations
  • Introduction to raster analysis
  • Understanding raster resolution and extent

11. Modern QGIS Processing Workflows

  • QGIS Processing Toolbox
  • Searching for algorithms
  • Understanding processing parameters
  • Running repeatable processing operations
  • Batch processing
  • Processing history
  • Saving and documenting workflows
  • Introduction to graphical models
  • Building simple reusable GIS workflows

12. Creating Professional Maps

  • Map composition and cartographic principles
  • Print Layout
  • Map frames
  • Titles and text
  • Legends
  • Scale bars
  • North arrows
  • Grids and coordinate information
  • Dynamic map elements
  • 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
  • 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 complete a practical GIS project covering the complete workflow:

  • Create a QGIS project.
  • Import vector, raster, and tabular data.
  • Verify and manage 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 GIS experience is necessary.
  • Participants should be comfortable with basic computer operations, such as installing software, navigating folders, and launching applications.
  • An interest in maps, geography, or spatial planning will be beneficial.
 7 Hours

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