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MAPPING WITH QGIS:
OPUS TRAINING COURSE
This course is a live, interactive, on-line tutorial where the client and the instructor work together to learn some of the capabilities of the free, open source QGIS software.
PRICING:
Mapping with QGIS: $350/person + GST
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For withdrawal charges see withdrawal policies
QGIS has become the go to choice for anyone looking for a powerful, free, opensource mapping platform. Often compared to — and in many cases preferred over — ESRI ArcGIS, QGIS is approachable for beginners yet endlessly capable for advanced users. With just a few hours of practice, you can produce publication ready maps, and if you want to go deeper, you’ll find a global community, extensive documentation, and a constantly growing library of plugins.
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Any data with a geographic reference can be brought into QGIS: GPS tracks, spreadsheets, aerial photos, scanned maps, geotagged images, and much more. Whether you’re analyzing your own datasets or working with publicly available information, QGIS gives you the tools to contour, visualize, graph, classify, and reimagine your data in almost any form you can think of — and chances are someone has already built a plugin or tutorial to help you do it.
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QGIS is also widely used for advanced remote sensing workflows. LiDAR, multispectral and hyperspectral satellite imagery, and even machine learning based image analysis are all part of the everyday toolkit.
This course, taught by Richard Johnson via live Zoom sessions, meets you exactly where you are. Over six hours of interactive, hands on learning, you’ll work with sample datasets or your own project material at a pace that suits you. Together, we can explore topics such as:
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Styling elevation rasters and vector points, lines, and polygons
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​Extracting contours from DEMs or generating contours from your own data
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​Selecting and exporting features from vector layers
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​Geoprocessing tools: clipping, merging, dissolving, and more
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Viewing and navigating your map in 3D
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​Designing print layouts with legends, inset maps, grids, and coordinate displays
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​Georeferencing aerial photos, scanned maps, and other imagery
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​Accessing current satellite imagery and derived products like NDVI or moisture indices
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​Importing data from public sources or your own spreadsheets
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​Exporting data for Google Earth, AutoCAD, and other platforms
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​Integrating data from mobile apps such as Avenza, QField, Gaia, and others
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​Working with tabular data using pivot style filtering and selection
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​Flattening river reaches to better visualize terraces and meanders
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​Adding geotagged photos, building atlases, working with geodatabases, and much more
There’s far more available in QGIS than we can cover in a single course, but together we’ll focus on the tools and workflows that help you tell the story your maps are meant to tell.
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