Section: Module 6 - Analysing the results | Cities Spatial Model Training | Short Courses

Main course page

  • General

    • About the course

      This online training course provides a practical, in-depth introduction to the Cities Spatial Model, designed for policymakers, urban practitioners, analysts, and researchers working on city planning and economic development. The course builds a clear intuition for how the model works and why spatial and equilibrium effects matter for urban policy.

      Participants will learn what data the model requires, where to find reliable sources, and how to clean, structure, and manipulate datasets into the formats needed for analysis using QGIS and R. Step-by-step guidance is provided on running the model in R, interpreting outputs, and using visual tools to explore results. The course also focuses on how to communicate findings clearly and effectively, translating technical outputs into policy-relevant insights that can inform real-world decisions. There is also an option to use the Shiny app interface - enabling users to upload data and run the basic model without any coding whatsoever. 

      By the end of the course, participants will be equipped with both the conceptual understanding and practical skills needed to apply the Cities Spatial Model to real urban challenges, supporting better-informed, evidence-based planning and investment decisions.

    • Meet your instructors

      Nick Tsivanidis - Associate Professor of Economics, UC Berkeley and IGC Cities Research Programme Director

      Nick Tsivanidis

      Maria Del Mar Gomez - Research Analyst, Cities Spatial Model

      Maria Del Mar Gomez - Research Analyst on the Cities Spatial Model

      Daniel Ruiz Palomo - Research Analyst, Cities Spatial Model

      Daniel Ruiz Palomo

    • Group training

      If you are looking for something more interactive, please join one of our quarterly training groups. As part of a group, you will follow the content over a week-long structured programme, including access to moderated peer discussions, a live support webinar with one of the instructors, and a capstone project to put your training into practice. The courses will start on the following dates:

      2 March 2026 [This group is now full, please select another date]

      1 June 2026 [This group is now full, please select another date]

      7 September 2026

      30 November 2026

      You can sign up here.

      Please note: Certificates are not issued for this course. The training is designed as a learning and knowledge-sharing opportunity, with an emphasis on practical understanding and application.

Module 5 - Running the model in R or the Shiny app
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Module 6 - Analysing the results

  • Module 6 - Analysing the results

    • Objectives

      • Understand and navigate the structure of the model outputs, including the full set of result variables stored in R
      • Use core R operations to inspect, filter, join, transform, and rank model results for meaningful analysis
      • Visualise spatial outcomes using maps to identify geographic patterns, clusters, and spillover effects

      You can skip this module if you are using the Shiny app.

    • Module contents

    • Download this folder which contains sample data and code to run the model in R. You will need to use these files to follow the steps in the video Analysing model results  from this module.

      Download the folder before you open the interactive module and keep the files accessible as you watch the videos

    • Interactive content SCORM package
    • Lets discuss the model results Forum
      Not available unless: You belong to any group

    • Additional resources

Module 5 - Running the model in R or the Shiny app
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