Suchak, K. and Manley, E. orcid.org/0000-0002-8904-0513 (2024) Towards a General Framework for Co-Location. In: Proceedings of 16th International Conference on Spatial Information Theory (COSIT 2024). 16th International Conference on Spatial Information Theory (COSIT 2024), 17-20 Sep 2024, Québec City, Canada. Leibniz International Proceedings in Informatics, vol. 315. Schloss Dagstuhl, 24:1-24:10. ISSN: 1868-8969.
Abstract
Previous studies into co-location exist in a variety of fields such as epidemiology and human mobility. In each field, researchers are interested identifying points of co-location amongst members of a population. In each of these fields, however, the definition of what it means for members of the population to be co-located may differ; furthermore, the ways in which data are collected vary. This piece of work aims to provide an initial outline of a general framework for identifying points of co-location. It demonstrates that the identification of co-location points between individuals is sensitive to the way in which co-location is defined in each context, as well as the types of data used. Furthermore, it highlights the impact that uncertainty in observations can have on our ability to reliably identify co-location.
Metadata
| Item Type: | Proceedings Paper |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © Keiran Suchak and Ed Manley. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | human mobility; co-location; contact tracing |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
| Date Deposited: | 29 Apr 2026 13:54 |
| Last Modified: | 29 Apr 2026 13:54 |
| Status: | Published |
| Publisher: | Schloss Dagstuhl |
| Series Name: | Leibniz International Proceedings in Informatics |
| Identification Number: | 10.4230/LIPIcs.COSIT.2024.24 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:240556 |
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