QGIS Training in South Korea

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

Upon completion of this training, participants will be able to:

• Master Python syntax and control structures to efficiently execute geospatial tasks.
• Apply Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS contexts.
• Manipulate and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Create custom Python-based geoprocessing tools for ArcGIS and QGIS to optimize task efficiency.

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 studying geographic information systems, which represents a significant domain within the broader field of geoinformatics.

QGIS operates as a comprehensive GIS software solution, enabling users to analyze and edit spatial information while also creating and exporting graphical maps. It supports both raster and vector layers, with vector data stored as point, line, or polygon features. The software accommodates various raster image formats and includes georeferencing capabilities. In summary, QGIS allows users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In the first phase, this program introduces the QGIS interface for general usage. In the second phase, we explore PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications, empowering you to develop custom Python Plugins tailored to specific GIS functions.