A synthetic population for agent-based modelling in Canada

Predhumeau, M and Manley, E orcid.org/0000-0002-8904-0513 (2023) A synthetic population for agent-based modelling in Canada. Scientific Data, 10. 148. ISSN 2052-4463

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Item Type: Article
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© The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Dates:
  • Published: 21 March 2023
  • Published (online): 21 March 2023
  • Accepted: 17 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
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ESRC (Economic and Social Research Council)
ES/T012587/1
Depositing User: Symplectic Publications
Date Deposited: 10 Mar 2023 16:01
Last Modified: 25 Jun 2023 23:16
Status: Published
Publisher: Nature Research
Identification Number: 10.1038/s41597-023-02030-4
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