Learning Materials
This tutorial provides step-by-step guidance on how to transfer work on ArcGIS Online from a University of Toronto (UofT) institutional account to the free (aka ‘public’) version of the service.
This tutorial provides detailed walk-throughs of how to use Jupyter Notebooks and open-source Python libraries to perform geospatial analysis.
Learning Goals
- Understand the fundamentals of GIS Programming and its implementations in a geographic context
- Perform different spatial operations using open-source Python libraries
- Setting up a Python GIS Environment
- Using UofT's UTOR JupyterHub
The Data Axle Historical Business Location Data provides one data file (.txt or .csv format) for each year. The US data runs from 1997-2024 and contains 11-15 million records per year. The Canadian data runs from 2009-2023 and contains 1.5-2.5 million records per year. Records provide information about business location (including address, census geography & lat/long coordinates (US database only)), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities. Complete record layouts and decodes are available for download via the Borealis links above.
The University of Toronto has licensed six separate datasets from Revelio Labs. These are workforce datasets that range in size from 1 to 4 TB. To facilitate easy access and querying across products, all datasets have been loaded into SciNet's supercomputing enviromment. Access to this environment can only be granted to current University of Toronto Faculty, Staff and Students, after an application process. This page contains additionals details about this process, as well as the data itself and how to query it.
This guide provides some introductory information on how to use notebooks in the ArcGIS Pro environment. You will learn about what notebooks are, how to use them, and some useful tips on using ArcPy to analyze your geospatial data.
This page provides a presentation on the Canadian Census Discovery Portal as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards.
This page provides a presentation on Constellate: A New Platform to Learn Text Analysis as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a presentation on Getting Started with Python in ArcGIS Pro as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a presentation on an Introduction to Dataverse for Sharing Data as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a presentation on an Introduction to Web APIs as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a presentation on Using LiDAR Data in ArcGIS Pro as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a presentation on Working with Web Archive Data as part of the Bits and Bytes Webinar Series hosted by the Map & Data Library that features presentations and demonstrations on data-related topics and tools, such as web archives, visualization, GIS and statistics.
This page provides a video recording of an introductory workshop on Python, continuing from where the first part of the Python series left off.
This page provides a video recording of the first part of an introductory workshop series on Python.
This page provides a video recording of a workshop on using intermediate features of Excel.
This page provides a video recording of an introductory workshop on using Tableau Desktop for data visualization.
This page provides a video recording of a workshop on best practices for creating infographics - with a specific social science related infographic critique example.
This page provides a video recording of a workshop on best practices for creating infographics - with a specific health-related infographic critique example.
This page provides a video recording of an introductory workshop on using Gephi for network analysis and visualization.
This page provides a video recording of an introductory workshop on NVivo 12 for Mac.
This page provides a video recording of an introductory workshop on using the R statistical programming language.
This page provides a video recording of an introductory workshop on Stata.
This page provides a video recording of an introductory workshop on NVivo 14/15 for Mac.
This page provides a video recording of an introductory workshop on NVivo 14/15 for Windows.
This page provides a video recording of a workshop on various text analysis tools.
Please note that Constellate is ending on July 1st, 2025. Some learning materials will remain available afterwards.
Please also note that HathiTrust Research Center will no longer be funded by the end of 2026.