In this free Map and Data Library workshop, you will learn how to use open data and geoprocessing tools to perform spatial analysis and develop problem-solving workflows. Using ArcGIS Pro, we will model a real-world public health problem and walk through the steps of gathering and assessing relevant data, applying effective symbolization, performing analysis using geoprocessing tools, and developing data-driven insights.

We'll also consider how you might design your analyses in a thoughtful way, by considering what data and techniques are appropriate for your problem, how to evaluate the quality and accuracy of your data and results, and how to communicate your findings effectively.

By the end of this workshop, you will be able to:

    • Understand GIS as a problem-solving technology

    • Find and visualize data on a map

    • Apply geoprocessing and analysis tools to perform spatial operations

    • Interpret and communicate the results of your analysis

    • Design your analysis with data and techniques that suit your problem

Don’t miss this opportunity to enhance your GIS skills with ArcGIS Pro. We look forward to seeing you there!

Prerequisites: While it’s beneficial to have attended our GIS Essentials with ArcGIS Pro workshop (or watched a video of a previously-recorded intro level workshop), this is not a prerequisite. This workshop is open to anyone interested in learning about GIS.
Audience: This workshop is designed for U of T students and researchers.
Instructor: Cole White, GIS Analyst

This event will be held in the MDL Data Lab, room 5031 on the 5th floor of the Robarts Library.

Map & Data Library workshops, such as this one, are a welcoming and inclusive environment for learning. To learn more, check out our Code of Conduct.

MDL is committed to making our workshops accessible to everyone. If you'd like to discuss how we can best meet your accessibility needs and help you get the most out of this workshop, please contact Cole White (cole.white@utoronto.ca).

Spatial Analysis with ArcGIS Pro

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