07-15, 14:00–18:00 (Europe/Sarajevo), PL15
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.
QGIS, Graphical Modeler, Expressions, Automation
Level of the workshop –beginner
Pre-requirements for attendees –QGIS Software and a general understanding of QGIS
Coding knowledge required? –No
Link to software source code repository –
Hello! I’m Jorge Martinez, currently working as a geospatial software engineer at the World Food Programme. My focus of work is mostly on geo-data collection and analysis to handle emergencies at a global level
My background is in electronic engineering, with a master in computer science. I did research in computer vision and machine learning and then jumped into GIS focusing of development of different open source tools, ranging from spatial database infrastructure, to OpenStreetMap-derived tools.
On my free time, I like to mix music, visit historical museums and try exotic food.
Berit, GIS enthusiast, promotes and supports open source software. Since 2022 she works with GFA Consulting Group GmbH trzying to push GIS into the development cooperation sector. In Oct2024, she started at OPENGIS.CH, where she advises, trains and manages projects. With her many years of experience in various sectors such as academia, public and the development cooperation context, she brings a global perspective and has an talent for translating and teaching different languages.
In her free time, her best friend is her bike, the garden and the mountains. She spends every free minute in the countryside, if possible
GIS specialist. Professionally engaged in acquiring, processing and analyzing information - public, spatial and environmental information. The author of many implementations and studies on spatial analytic underpins the decision-making process in the process of assessing the impact of planned investments on the environment. Author and co-author of many spatial data sets, open source data solutions and author of legal regulations related to the functioning of protected areas in north-eastern Poland. In scientific terms, I am involved in the use of GIS in a analysis related to renewable energy sources. More at: https://www.linkedin.com/in/jakubbobrowski/