Urban Big Data Centre, and Huq, (2025) Huq packaged data by city and year 2019-2024. [Data Collection]
Collection description
Huq's event-level geo-data offers a rich and descriptive record of how consumers move and interact with the places around them. Huq's footfall data can be combined with other data sources to build predictions relating to how public entities are likely to report, specifically, where it concerns footfall correlated with revenue. The data can be used to observe how consumers interact with traded or private physical assets in order to observe changes in consumer trends and consider how those may affect their investment positions.
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| College / School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
| Date Deposited: | 27 Mar 2025 10:10 |
| Related resources: | |
| URI: | https://researchdata.gla.ac.uk/id/eprint/1911 |
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