Validating Apparent Urban Areas
About the project or challenge area
Using large amounts of new, high-quality satellite data and new machine learning methods, novel ways of understanding the "true" footprint of the city are at hand. However, these new boundaries still need to be validated against existing data on human interaction, behavior, and economic exchange. The project will take novel urban boundaries developed by Wolf & Fox from remote sensing data and examine how coherent the boundaries are with respect to alternative data sources, such as twitter activity or daily movement and commute patterns.
Why choose this opportunity?
You will develop a better understanding of urban data science methods and applications. In addition to training up on cutting-edge methods in urban analytics and using new and interesting datasets, you will have the opportunity to go beyond the traditional spatial analytical methods by applying spatial data science methods to this new data in order to validate the urban boundaries. The student will thus gain a solid domain understanding of urban systems in addition to developing skills in urban data science.
Skills in Python, R, or Julia are preferred. The project is mainly computational and statistical, so prior experience programming will be incredibly useful.
How to apply
All students can apply using the button below, following the Master's by Research Admissions Statement. Please note that this is an advertised project, which means you only have to complete Section A of the Masters by Research Statement Template (Office document, 68kB).
Your supervisor for this project will be Levi John Wolf, Lecturer in Quantitative Human Geography in the School of Geographical Sciences. You can contact him at +44 0117 92 88125 or email email@example.com.
Find out more about your prospective research community
The City Futures theme is a vibrant community of researchers who are helping cities to better understand the complex challenges they face, and support their transition to becoming sustainable, resilient and inclusive places with a high quality of life for all. Find out more about the City Futures research theme.