Advanced Topics in Geospatial Analysis

Analyze advanced modelling using GIS technology with practical hands-on skills that align with industry demands in senior level employment. You will gain exposure to the latest technology and subscription-based solutions and learn Esri-based solutions that are applicable in a wide range of industries.

Recommended Experience

• If you do not have previous experience in GIS, it is strongly recommended that you complete GIS501 – Introduction to GIS: Geospatial Data microcredential before enrolling in other GIS microcredentials.
• This microcredential is for those who have completed introductory- and intermediate-level GIS courses and want advanced technical knowledge and skills.

Opportunity to build on your GIS microcredential

• This microcredential is part of a suite of five GIS microcredentials. You can pursue one or more microcredentials in the Geospatial Data Collection Analysis and Interpretation using GIS Technology program.

Skills and Competencies

• Create python scripts from models and ArcToolbox using built-in functionalities of GIS software
• Use spatial interpolation methods in toolsets for statistics and understand related terms such as semi-variogram modelling
• Complete a Kriging model using spatial interpolation techniques
• Use data, based on SimplyAnaltyics, to extract demographic and socioeconomic data for decision support systems
• Use ArcGIS Tracker with ArcGIS online solution
• Set up ArcGIS online with data animation, web mapping and visualization
• Convert a GIS-related problem into a solution
• Present the solution with a demo to an audience

​​A significant reduction in Canada’s carbon footprint is imperative for mitigating the risks associated with Climate change and to transition to a low carbon economy. This is an ambitious endeavour that requires individual and collective actions to limit Greenhouse Gas Emissions (GHG) and invest in innovative, alternative/renewable energy sources and technologies. GIS technology plays a critical role in the collection, management, visualization, analysis and interpretation of location-based environmental data (e.g., air/water quality, ecosystem/biodiversity, population, energy use, transportation data, etc.). Bureaucrats & technocrats who need to understand the impacts of climate change rely on Geographic Information Systems (GIS) technology for climate risk analytics. Monitoring of rising sea levels or extreme weather events, mapping biodiversity loss, siting of critical infrastructure for water resources, healthcare, renewable energy, optimization of waste collection in our communities or routing logistics for transit systems are a few examples of the application of GIS technology as a spatial decision support tool for mitigating climate change and developing sustainable solutions in a low Carbon economy.

​GIS technology is increasingly used in the public and private sector. New or recent graduates seeking employment in a data-driven, low carbon digital economy will require training and skills development in GIS technology. Seneca’s suite of GIS microcredentials will bridge that training, skills development and competencies gap for graduates or people seeking a career change, due to upheaval in the labour market due to the COVID-19 pandemic for example. The focus of these microcredentials is on geospatial data collection methods, data analysis/visualization & interpretation techniques – skills required for enhancing employability in the digital, low carbon economy. Graduates will gain the expertise needed with geospatial data analytics for a rewarding career in a variety of industries including environmental and civil engineering, health care and manufacturing.

• Introduction to GIS: Geospatial Data
• Geospatial Analysis
• GIS and Data Collection Technologies
• Role of GIS in Workflow and Asset Management