Course Overview:
This intensive 7-day Training is designed to equip participants with the essential knowledge and practical skills needed to effectively utilize QGIS, a powerful open-source Geographic Information System (GIS). Through hands-on exercises and a final project, participants will gain experience in processing, analyzing, and visualizing geospatial data, enabling them to tackle real-world spatial challenges with confidence.
Target Audience
This course is ideal for:
Course Delivery
Pre-requisites
Learning Objectives:
By the end of the course, participants will:
Course Structure
Day 1: Introduction to GIS and QGIS
Introduction to GIS and QGIS
o What is GIS? Definition, applications, and case studies.
o Overview of QGIS: Interface, toolbars, and plugins.
o Types of spatial data: Vector vs. Raster.
Exercise:
o Install QGIS and explore the interface.
o Load and visualize sample vector and raster datasets.
Day 2: Working with Spatial Data and Map Design
Working with Spatial Data and Map Design
o Adding and managing layers in QGIS.<br
o Symbolizing and labeling features.
o Creating basic maps using QGIS Map Composer.
Exercise:
o Create a thematic map using sample data.
o Customize symbols, labels, and map layout.
Day 3: Coordinate Systems, Projections, and Data Editing
Coordinate Systems, Projections, and Data Editing
o Understanding coordinate systems and map projections.
o Reprojecting data to different coordinate systems.
o Basic data editing: Adding, deleting, and modifying features.
Exercise:
o Reproject a dataset to a different coordinate system.
o Edit vector data (points, lines, polygons) and attributes.
Day 4: Spatial Analysis and Queries
Spatial Analysis and Queries
o Introduction to spatial analysis: Buffers, overlays, and proximity analysis.
o Conducting spatial queries to extract data.
o Using the QGIS Processing Toolbox for analysis.
Exercise:
o Perform buffer analysis and overlay operations.
o Extract data using spatial queries.
Day 5: Data Analysis and Visualization
Basic Data Analysis and Visualization
o Using Excel functions and formulas for analysis.
o Creating pivot tables, charts, and graphs.
Advanced Excel Techniques
o Applying VLOOKUP, INDEX-MATCH, and statistical formulas.
o Handling large datasets efficiently.
Exercise:
o Summarize survey results using pivot tables and charts.
o Perform advanced analysis on a sample dataset.
Day 6: Working with Tables and Advanced Data Management
Working with Tables and Advanced Data Management
o Joining and relating tables in QGIS.
o Calculating fields and performing statistical analysis.
o Introduction to geo-databases and data management.
Exercise:
o Join attribute tables and perform calculations.
o Create and manage a geo-database.
Day 7: Advanced Editing and Geocoding
Advanced Editing and Geocoding
o Advanced editing techniques: Snapping, splitting, and merging features.
o Introduction to geocoding: Converting addresses to coordinates.
o Working with reference data for geocoding.
Exercise:
o Perform advanced editing on a sample dataset.
o Geocode a list of addresses and visualize them on a map.
Day 8: Final Project and Presentation
Advanced Editing and Geocoding
o Recap of key concepts and tools covered in the course.
o Final project: Design and implement a GIS project from start to finish.
o Presenting findings: Creating maps and reports for stakeholders.
Exercise:
o Participants will work on a real-world GIS project using provided or their own data.
o Create a final map and report summarizing the project findings.
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