QGIS Essentials to Advanced Training in Houston, USA

This comprehensive training takes participants from the fundamentals of QGIS to advanced spatial analysis, data management, and automation. Learners will explore the QGIS interface, create and edit geospatial data, perform complex spatial queries, and design professional maps. The course also covers raster analysis, cartographic composition, Python scripting with PyQGIS, and integration with external data sources. Emphasis is placed on practical workflows that mirror real-world geospatial challenges, enabling participants to manage, analyze, and visualize spatial data effectively. By the end of the training, participants will be equipped to handle end-to-end GIS tasks with confidence and precision.

Introduction to QGIS and Geospatial Concepts

• Overview of QGIS and its role in GIS
• Installing and configuring QGIS
• Understanding vector and raster data models
• Coordinate reference systems and projections
• Exploring the QGIS interface and panels

Hands-on exercises

Working with Vector Data

• Loading and exploring vector layers
• Creating and editing vector geometries
• Attribute table operations and field calculator
• Importing and exporting vector formats
• Styling vector layers with symbology

Hands-on exercises

Raster Data Management and Analysis

• Loading and visualizing raster datasets
• Raster properties and metadata
• Raster calculator and map algebra
• Clipping, resampling, and reprojecting rasters
• Terrain analysis: slope, aspect, hillshade

Hands-on exercises

Spatial Analysis and Geoprocessing

• Vector overlay operations: intersect, union, difference
• Buffer and proximity analysis
• Spatial joins and relationship analysis
• Query builder and spatial queries
• Network analysis basics

Hands-on exercises

Cartographic Design and Map Composition

• Design principles for effective maps
• Advanced labeling and annotation
• Using the print layout for map creation
• Adding map elements: legends, scale bars, north arrows
• Exporting maps in various formats

Hands-on exercises

Data Interpolation and Terrain Analysis

• Interpolation methods: IDW, kriging, spline
• Creating contour lines and DEM analysis
• Viewshed and watershed analysis
• 3D visualization with QGIS2threejs
• Profile tools and elevation queries

Hands-on exercises

Python Scripting and Automation

• Introduction to PyQGIS and the Python console
• Automating tasks with scripts
• Using the QGIS Processing framework
• Creating custom processing algorithms
• Batch processing and model builder

Hands-on exercises

Database Integration and Web Services

• Connecting to spatial databases (PostGIS, SpatiaLite)
• Executing SQL queries in QGIS
• Consuming web map services (WMS, WFS, WMTS)
• Publishing maps to the web with QGIS Server
• Using QGIS with external APIs

Hands-on exercises

Advanced Data Management and Quality

• Metadata creation and editing
• Data validation and topology checks
• Versioning and data sharing
• Working with large datasets and performance tuning
• Integrating QGIS with other GIS tools

Hands-on exercises