QGIS Training in Sud-Vest

This instructor-led live training in Sud-Vest (online or on-site) is targeted at beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

• Learn Python syntax and control structures for executing geospatial tasks efficiently.
• Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
• Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
• Develop 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 acronym GIS is also occasionally used to denote Geographic Information Science (GIScience), which refers to the academic discipline studying these systems and represents a significant domain within the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as create and export graphical maps. It supports both raster and vector layers; vector data is stored in the form of points, lines, or polygons. The software accommodates various raster image formats and allows for image georeferencing. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial data on Windows, Mac, Linux, and BSD platforms.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we cover PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications, allowing you to develop custom Python plugins tailored to specific GIS capabilities.