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Course Outline
Introduction to Python
- Overview of Python and its application in geospatial analysis
- Configuring Python environments for ArcGIS and QGIS
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Core syntax and task execution
- Conditional statements: if, elif, else
- Loops: for, while
- Functions and modules
- Error handling 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
- Understanding vector data structures
- Manipulating vector layers using Geopandas in QGIS
- Performing vector layer analysis with Arcpy in ArcGIS
- Executing vector operations using PyQGIS
Raster Data Analysis with GDAL/OGR, Rasterio, Geopandas, Arcpy, and PyQGIS
- Understanding 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
Requirements
- Fundamental understanding of GIS concepts and familiarity with ArcGIS and QGIS tools
Target Audience
- Professionals in earth sciences
- Engineering professionals
35 Hours
Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
