Tamoco, and Sinclair, M. (2025) Tamoco Open Spaces. [Data Collection]
Collection description
Overview:
Tamoco delivers real-time location data in a secure and deidentified way. Tamoco’s data is derived directly from mobile devices, using the inbuilt operating system. The tech uses a combination of GPS and WiFi, in order to generate industry-leading location accuracy. UBDC obtained data from Tamoco. Their ML algorithm aims to enhance location accuracy and provide reliable geospatial data without compromising user privacy. The data can be used to understand how a device’s movement interacts with points of interests (cafe’s, offices, stores etc); where devices are likely spending time; and to complement the raw location data with Tamoco visitation data to understand dwell times.
Tamoco dataset:
The dataset consists of Tamoco’s location data which provides:
• Verified GPS coordinates coming from third party app publishers.
• 7-digit latitude and longitude data with accuracy scores, providing a complete picture of how a device moves over time.
• Data is anonymised securely to protect users privacy.
Access and restrictions:
Tamoco data is available to UK-based academics and public sector organisations for non-commercial, academic research purposes or to support policy and operational decision making only. Usage for teaching purposes is not permitted. Data users need to apply to UBDC setting out a summary of the work they plan to undertake so that the usage can be assessed against these criteria. If the intended use falls within the terms of the licence, data users will be asked to sign an End User Licence agreement. Data will be shared with eligible applicants on receipt of completed license agreements.
More information:
Further information can be found on Tamoco's website https://www.tamoco.com/.
Alternative transport and mobility resources are available at https://www.ubdc.ac.uk/data-theme/transport-and-mobility.
| Funding: |
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| College / School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
| Date Deposited: | 26 Mar 2025 15:00 |
| URI: | https://researchdata.gla.ac.uk/id/eprint/1912 |
Available Files
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