2026-10-07 –, WS - Riders Club 1
Tired of repetitive GIS workflows that consume time and lead to errors?
This hands-on workshop will show you how to automate and streamline spatial data analysis using QGIS expressions, built-in geoprocessing algorithms, and the Graphical Modeler — without writing a single line of code.
In today’s GIS workflows, repetitive tasks and manual processing can be time-consuming and prone to errors. Whether you are transferring data between layers, running step-by-step spatial analyses, or performing complex geoprocessing tasks, automation can significantly improve efficiency and accuracy.
Based on a used case we will create an efficient, repeatable workflow using OSM data and openly available satellite imagery.
🚀 What you'll learn:
• How to use QGIS expressions to enhance vector and raster analysis
• How to combine algorithms into automated workflows using the Graphical Modeler
• How to process and analyze spatial data without scripting
• How to work with real-world open datasets in a structured way
🛠️ Workshop structure:
1. Introduction to QGIS Graphical Modeler – we discuss the main elements and logic behind the tool
2. Vector & Raster Analysis – Learn how to apply expressions and algorithms to perform meaningful spatial operations (e.g., selections, buffer, raster calculations).
3. Workflow Design – Manually build step-by-step processing chains using QGIS tools and expressions.
4. Model Automation – Use the Graphical Modeler to convert your workflow into a repeatable, parameterized model.
By the end of the session, you’ll have practical experience building robust, automated models that improve efficiency, reduce errors, and boost the quality of your spatial analyses — all within the QGIS environment.
Team lead Consulting at OPENGIS.ch
Urban planner and QGIS developer, I worked on planning and mobility issues.
Today I primarily contribute to the QGIS project, where I try to improve user experience by my own experience in urban planning. And in return I integrate QGIS in my workflows. Effectively following "Eating your own dog food" principles.
I also advocate for greater diversity within the fields of geomatics and open source.
I am a mathematician and environmental scientist with a strong focus on geospatial analysis. Before joining OPENGIS.ch in 2025 as a QGIS expert and teacher, I worked for several years in research on natural hazards and risk analysis.