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Spatial Analysis with QGIS Desktop
Your geographic data needs to answer a real-world question. With QGIS, organise spatial information and prepare clear analyses and visualisations. Strengthen your ability to use the results to support discussions and decisions.
- Duration
- 5 days 35 hours
- Code
- SIG02FR Code
Presentation
This course addresses spatial analysis using the tools available in QGIS Desktop. Drawing on the discipline's fundamental concepts, participants learn to build complete data processing workflows for analysing and answering spatial planning questions. Exercises based on varied thematic datasets teach the geoprocessing techniques needed to develop and use a geographic database.
The course covers the Graphical Modeler and existing scripts in the Processing toolbox. It introduces script creation with Python but does not include a course in the language itself.
By the end of the course, participants will be able to automate data analysis workflows.
Objectives
The course focuses on spatial analysis, integration of spatial and tabular data, geometric construction functions and advanced map display options. Participants acquire fundamental concepts in spatial algebra, topology and spatial analysis. They learn to use the power of QGIS Desktop analysis tools to build complete data processing workflows. They learn batch processing tools, script creation and SQL for data analysis before processing in QGIS. Participants also learn to use R as a processing tool within QGIS.
Program
- Introduction to geoprocessing in QGIS.
- The most common tools:
- Overlay.
- Proximity.
- Table management.
- Surface creation and analysis.
- Statistical analysis.
- Data selection and extraction.
- Finding tools in QGIS: QGIS geoprocessing, GRASS 7, GDAL/OGR, SAGA and TauDEM.
- Running tools and the Graphical Modeler.
- Managing tools and toolboxes.
- Creating tools with Python.
- Sharing and distributing the tools created.
- Graphical Modeler.
- Model management.
- Environment management.
- Managing intermediate data.
- Validating and running a model.
- Using variables.
- Using parameters.
- Filtering values.
- Output data symbology.
- Using SQL for geoprocessing before processing in QGIS.
- The database manager.
- Spatial commands in PostGIS and SpatiaLite.
- SQL queries for data analysis.
- Spatial analysis of raster data with the Raster Calculator.
- Connecting R with QGIS: creating processing workflows with the R package.
Audience
This course is intended for QGIS Desktop users who have completed Mastering QGIS Desktop or acquired equivalent knowledge.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.