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Introduction to QGIS: May 11th, 2022

This 8 hour workshop is designed to introduce you to QGIS 3.x, an open source GIS software for viewing, editing, and managing spatial data in a wide variety of commonly used vector and raster formats. It is lightweight, flexible, and can be installed on Windows, MacOSX, and Linux. By the end of the course students should be able to install QGIS, display data, begin editing, and create a map.

Read a full description of this seminar before registering here.

 

GIS Project Management Practices Workshop: May 16th, 2022

This workshop cuts through the theory and fluff to present, in practical terms, the essential practices for successful GIS project planning and management. Its intent is to provide project managers, teams, and stakeholders with the key actions methods, and tools to launch and execute successful projects—delivering results on time and on budget providing valuable deliverables to the customers and user community. 

Read a full description of this seminar before registering here.

 

Remote Sensing Applications in QGIS Workshops: May 19th, 2022

You will learn how to install/setup QGIS and associated plugins, enhance, interpret, and perform analysis on remotely sensed satellite datasets. I will walk you through each stage using step-by-step lectures and imagery. This course uses datasets based on real-life circumstances using Open-Source Quantum GIS software. You will gain an understanding of what a Geographic Information System is and how open-source GIS software can be leveraged to help solve real world issues.  Students will learn how to download, Install, and configure QGIS, and the plugins required for remote sensing analysis using Microsoft Windows 11/10.  Students will learn how to initiate a new GIS project using the datasets provided, enhance, and perform analysis using Sentinel 2 imagery of the abandoned Aldermac Mine site, located in the region of Abitibi–Témiscamingue, Quebec. The resulting map will be used to create a Layout and published to industry standard formats (e.g., Print, Image and Geo-PDF).  Students will learn how to use the Orfeo Toolbox Supervised Classification machine learning algorithms to detect vegetation changes in and around the Fort McMurray, Alberta, Canada, Athabasca oilsands, using Sentinel 2.  Students will learn how to perform a Terrain Analysis of Mt. St. Helens, creating a Digital Surface Model and displaying it as a high-resolution 3D scene.  Students will learn how to analyze LiDAR data to create a 2, 4, 6, 8 and 10m Sea Level Rise Map of Victoria, British Columbia, Canada.  

Read a full description of this seminar before registering here.

 

Introduction to Spatial Data & Using R as a GIS: May 20th, 2022

 

 

 

 

 

In this two part course we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis. Finally, we will cover the use of loops to make multiple maps quickly and easily, one of the major benefits of using a scripting language to make maps, rather than traditional graphic point-and-click interface.  No previous experience of coding is required, although participants would benefit from some experience of using spatial data (e.g. Google Maps).

Read a full description of this seminar before registering here.