Simplifying the interpretation of continuous time models for spatio-temporal networks

Gadd, SC, Comber, A orcid.org/0000-0002-3652-7846, Gilthorpe, MS orcid.org/0000-0001-8783-7695 et al. (2 more authors) (2021) Simplifying the interpretation of continuous time models for spatio-temporal networks. Journal of Geographical Systems. ISSN 1435-5930

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Copyright, Publisher and Additional Information: © The Author(s) 2021. 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Spatio-temporal data; Hierarchical modelling; Networks; Multilevel modelling
Dates:
  • Accepted: 21 December 2020
  • Published (online): 26 July 2021
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)
The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 16 Aug 2021 08:22
Last Modified: 16 Aug 2021 08:32
Status: Published online
Publisher: Springer
Identification Number: https://doi.org/10.1007/s10109-020-00345-z
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