Скачать или смотреть Automating GIS Tasks with Python and QGIS: Streamlining workflows through scripting and automation.

In this session, we explored how automation in GIS can streamline workflows and reduce the burden of repetitive manual tasks by using Python scripting in QGIS (PyQGIS). Participants learned how to apply automation for faster, reproducible, and scalable geospatial analysis.
The session covered:
Introduction to Automation in GIS, emphasizing how it minimizes errors and saves time when performing tasks such as batch clipping, layer styling, and automated reporting.
Tools and Requirements, highlighting QGIS as a free, open-source GIS platform and PyQGIS as its Python API for scripting and automation.
A Real-World Use Case, where Nigeria’s road data was batch clipped by state boundaries. This demonstrated how a process that could take hours manually can be completed in seconds using automation.
Step-by-Step Workflow, including loading shapefiles, looping through state boundaries, clipping road networks, and automatically saving the outputs.
Key PyQGIS Classes, such as QgsVectorLayer for creating and managing vector data, QgsProject for accessing QGIS projects, and QgsFeature for working with geometries and attributes.
Pseudocode and Hands-On Demonstration, showing how to use processing.run() for automating clipping tasks in QGIS.
Through the hands-on session, participants gained valuable skills in scripting geospatial workflows, automating repetitive processes, and applying Python in QGIS to handle real-world data challenges. This session provided a practical and scalable approach to GIS automation, empowering professionals to achieve efficiency in geospatial projects.