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Duration 7 hours
Course Outline
1. Overview of Geographic Information Systems
- Definition and core principles of GIS
- Distinguishing GIS from standard digital mapping
- Foundations of geographic information and spatial datasets
- Architectural components of a GIS platform
- Standard applications within the public sector
- Differences between vector and raster data models
- Geometric primitives: points, lines, and polygons
- Defining spatial attributes and metadata
- Analyzing spatial relationships and proximity
- Illustrative examples of operational GIS workflows
2. Initial Setup and QGIS Interface
- Installation procedures for QGIS
- Interpreting QGIS Long-Term Release stability standards
- Navigating the primary QGIS workspace
- Utilizing the Browser and Layers panels for data management
- Managing the Map Canvas display area
- Configuring toolbars and auxiliary panels
- Establishing and saving GIS project files
- Best practices for project structure and file organization
- Managing project-relative file paths
- Importing and loading sample datasets for training
3. Spatial Data Standards and Sources
- Standard vector data file formats
- Specifications and usage of Shapefiles
- Advantages of the GeoPackage format
- Implementing GeoJSON standards
- Processing CSV and delimited text files
- Standard raster data file formats
- Utilizing GeoTIFF files for analysis
- Importing data from local directories and databases
- Principles of open geospatial data access
- Overview of online map and data services
- Licensing compliance and responsible data stewardship
4. Coordinate Reference Systems and Projections
- Definition of a Coordinate Reference System (CRS)
- Distinguishing geographic and projected coordinate systems
- Understanding latitude, longitude, and datum
- Interpreting EPSG codes for standardization
- Applying CRS settings within QGIS
- Differentiating Project CRS from Layer CRS
- Techniques for reprojecting geospatial data
- Utilizing on-the-fly CRS transformation features
- Avoiding common CRS configuration errors
- Selecting optimal CRS settings for analytical and mapping tasks
5. Vector Data Operations
- Adding vector layers to the canvas
- Reviewing feature attributes and geometry
- Techniques for selecting specific features
- Identifying features for detailed inspection
- Applying attribute-based filters
- Measuring linear distances and areal extents
- Creating new vector geometries
- Editing existing vector attributes
- Applying snapping tools and basic digitization methods
- Ensuring data integrity when saving edits
6. Attribute Table Management
- Structure and purpose of attribute tables
- Defining field types and data constraints
- Sorting and filtering attribute records
- Calculating derived field values
- Utilizing the Field Calculator for batch updates
- Constructing QGIS expressions
- Developing conditional logic in expressions
- Performing attribute joins between layers
- Integrating CSV and tabular datasets
- Managing database table relationships
- Basics of data quality assurance and validation
7. Symbology and Visual Presentation
- Configuring basic layer symbology
- Applying categorized color schemes
- Implementing graduated color ramps
- Setting up rule-based styling logic
- Adjusting transparency and blend modes
- Managing symbol levels and layer stacking order
- Customizing color palettes and symbol shapes
- Creating and applying reusable style templates
- Using data-driven symbols for variable representation
- Introduction to expression-based symbology rules
8. Cartographic Labeling and Annotation
- Enabling basic feature labeling
- Configuring automatic label placement algorithms
- Formatting font size, color, and style
- Using data-defined properties for labels
- Writing expressions for dynamic label content
- Managing label priority and collision resolution
- Applying buffers and masks for readability
- Concepts in manual annotation
- Best practices for professional cartographic labeling
9. Fundamental Geoprocessing and Spatial Analysis
- Core concepts of geoprocessing operations
- Generating buffer zones around features
- Clipping datasets to specified extents
- Identifying intersection areas between layers
- Merging datasets using Union operations
- Combining features via Dissolve operations
- Creating difference subsets of features
- Performing spatial selections based on proximity
- Extracting features based on location constraints
- Chaining geoprocessing tools into sequential workflows
- Validating geometric integrity of datasets
10. Raster Data Fundamentals
- Definition and structure of raster data models
- Understanding cell resolution and pixel grids
- Loading raster datasets into the project
- Visualizing raster layers effectively
- Applying color ramp classifications
- Reviewing raster statistical summaries
- Querying specific raster cell values
- Performing basic raster algebra calculations
- Introduction to raster-based spatial analysis
- Evaluating raster resolution and geographic extent
11. Advanced QGIS Processing Workflows
- Navigating the QGIS Processing Toolbox
- Searching and locating specific algorithms
- Configuring processing parameters and inputs
- Executing repeatable and reproducible processes
- Implementing batch processing for multiple datasets
- Reviewing processing history for auditing
- Documenting workflows for reproducibility
- Introduction to graphical model creation
- Designing simple, reusable GIS processing models
12. Professional Map Production
- Principles of map composition and cartographic design
- Setting up the Print Layout interface
- Configuring map frames and layouts
- Adding titles and descriptive text elements
- Generating and formatting legends
- Including scale bars for reference
- Placing north arrows and orientation indicators
- Adding grids and coordinate reference information
- Implementing dynamic map elements and updates
- Managing multiple map frames in one layout
- Selecting appropriate page sizes and orientations
- Exporting maps to PDF and standard image formats
- Finalizing presentation-ready cartographic products
13. Advanced QGIS Capabilities and Modern Workflows
- Utilizing GeoPackage as a standardized data container
- Optimizing project organization for team collaboration
- Standardizing layer styles and reusable configurations
- Advanced use of expressions and data-defined properties
- Complex selection and filtering techniques
- Managing temporal and time-based data concepts
- Introduction to 3D scene visualization
- Foundations of web-based GIS and geospatial services
- Integrating online basemaps and external services
- Understanding the QGIS plugin ecosystem
- Overview of automation and scripting concepts
14. Applied GIS Project for Practitioners
Learners will execute a comprehensive GIS project that encompasses the full operational workflow:
- Initialize a new QGIS project environment.
- Import and integrate vector, raster, and tabular datasets.
- Validate and manage coordinate reference systems.
- Analyze and refine attribute data quality.
- Link external tabular information to spatial features.
- Apply categorized and graduated symbology to layers.
- Configure dynamic labels using QGIS expressions.
- Execute buffer, clip, intersect, and dissolve analyses.
- Perform fundamental spatial analysis tasks.
- Design a professional cartographic print layout.
- Export the final map product in standard formats.
- Archive and organize the project and associated data assets.
Requirements
- No prior experience with Geographic Information Systems is required.
- Participants must be proficient in basic computer operations, including software installation, file navigation, and application management.
- A foundational interest in cartography, geography, or spatial planning is recommended.
Testimonials (1)
Learning that the QGIS and a tool that can used by other different professionals such land survey
