Geospatial Analysis

Geospatial Analysis is the second microcredential in a series of five stackable microcredentials focused on the application of GIS (Geographical Information Systems) technology to collect, analyze and interpret data for use in various sectors of the economy, including agriculture, natural resources and the environment, clean technology, transportation and construction. You will examine industry trends, explore Model Builder in GIS,  learn about Esri-based ArcGIS StoryMaps and develop interactive multimedia presentations. You will map watersheds and interpret data to address geographic challenges.

Funded in part by the Government of Canada’s Sectoral Workforce Solutions Program.

You will learn about Esri-based ArcGIS StoryMaps and develop interactive, multimedia presentations. You will map watersheds and interpret data to address geographic challenges.

Skills and Competencies

• Examine industry trends and explore Model Builder in GIS
• Conduct raster analysis such as zonal statistics using desktop GIS software
• Delineate watershed boundaries using advanced modelling and DEM data
• Create tools using ModelBuilder that can be applied to address repetitive tasks
• Use Triangulated Irregular Networks (TINs), contours and lidar data to solve problems
• Use a relational database for vector data management
• Apply appropriate classification methods to a variety of data sets for different purposes
• Perform simple image classification
• Develop solutions using vector and raster analysis and present them in class

This training directly advances the mission, vision, and values of the Canadian Colleges for a Resilient Recovery by equipping learners with practical GIS skills essential for a low-carbon, climate-resilient economy. By teaching students to analyze watersheds, interpret environmental data, and model geographic challenges, the course builds technical capacity in fields central to sustainable land use, climate adaptation, and evidence-based environmental planning. Through hands-on competencies such as raster and vector analysis, watershed delineation, lidar interpretation, and ModelBuilder automation, participants gain the ability to support greener infrastructure decisions, improve resource management, and streamline environmental assessments. The integration of ArcGIS StoryMaps further strengthens learners’ ability to communicate complex climate and sustainability insights to communities and decision-makers. Overall, the course strengthens Canada’s future workforce by developing data-driven problem-solvers who can directly contribute to low-carbon strategies, resilient infrastructure planning, and sustainable development, core pillars of a resilient economic transition.

• GIS and Data Collection Technologies
• Introduction to GIS: Geospatial Data