QGIS Training in Sweden

This instructor-led, live training session Sweden (online or onsite) is designed for beginner-level earth sciences and engineering professionals who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.

Upon completing this training, participants will be capable of:

• Mastering Python syntax and control structures to execute geospatial tasks efficiently.
• Employing Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS.
• Manipulating and analyzing vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automating geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Creating custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to refer to Geographic Information Science (GIScience), the academic discipline focused on the study of GIS, which constitutes a significant domain within the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information while also facilitating the composition and export of graphical maps. It supports both raster and vector layers, with vector data stored as points, lines, or polygon features. The software accommodates various raster image formats and offers georeferencing capabilities. In summary, QGIS empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we introduce PyQGIS—the Python libraries of QGIS that allow the integration of GIS functionalities into your Python code or applications. This enables you to develop your own Python plugins based on specific GIS functionalities.