Automating QGIS workflows can save a lot of time and effort. With some Python programming, custom tools can be created that are tailored to specific questions and data structures. In this workshop, this capability will be demonstrated through examples, before we collaboratively develop our own algorithms and implement them in QGIS.

The processing toolbox in QGIS already provides a wide range of algorithms. However, real-world requirements often demand data preparation, the combination of multiple tools, and manual post-processing of results. Developing custom tools not only speeds up these workflows but also offers additional benefits such as improved reproducibility, error reduction, and easy sharing with others.

In this workshop, participants will gain both theoretical and practical knowledge necessary to develop their own processing algorithms, integrate them into QGIS, and share them with others. We will implement application examples from classic GIS analysis and address individual challenges.

Basic knowledge of GIS and Python* is required for participation. The workshop will also cover the specifics of using Python within QGIS.

* Functions and classes should not be entirely new concepts.