Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals

• Basic understanding of GIS and familiarity with ArcGIS/QGIS tools

Audience

• Earth sciences professionals
• Engineering professionals

Python for ArcGIS and QGIS refers to the use of Python programming language to automate, extend, and perform geospatial analysis within ArcGIS and QGIS environments. Python is widely integrated into both platforms, allowing users to streamline tasks, create custom scripts, and manipulate geospatial data more efficiently.

This instructor-led, live training (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use 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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to Python

• Overview of Python and its use in geospatial analysis
• Setting up Python environments for ArcGIS and QGIS
• Basic syntax and task execution
  • if, elif, else statements
  • Loops: for, while
  • Functions and modules
  • Handling errors and exceptions

Introduction to Data Analysis and Visualization

• Working with data in Python using Pandas and Numpy
• Data manipulation techniques for geospatial datasets
• Introduction to Matplotlib and Seaborn for visualizing geospatial data

Vector Data Analysis with Geopandas, Arcpy, and PyQGIS

• Introduction to vector data structures
• Manipulating vector layers using Geopandas in QGIS
• Performing vector layer analysis with Arcpy in ArcGIS
• Using PyQGIS for vector operations

Raster Data Analysis with GDAL/OGR, Rasterio, Geopandas, Arcpy, and PyQGIS

• Introduction to raster data
• Working with raster layers using GDAL/OGR and Rasterio
• Raster data analysis in ArcGIS using Arcpy
• Automating raster processing tasks with PyQGIS

Tool Sequences with Python in QGIS and ArcGIS

• Automating GIS workflows and processes
• Creating scripts for sequential task automation in both ArcGIS and QGIS
• Building custom geoprocessing tools using Python

Geospatial Information Management with Python

• Automating report generation and map creation
• Connecting to geospatial databases and accessing web services (WMS, WFS)
• Automating data retrieval and analysis

Summary and Next Steps