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A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models

Otso Ovaskainen, Panu Somervuo, Dmitri Finkelshtein Orcid Logo

Journal of The Royal Society Interface, Volume: 17, Issue: 171, Start page: 20200655

Swansea University Author: Dmitri Finkelshtein Orcid Logo

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DOI (Published version): 10.1098/rsif.2020.0655

Published in: Journal of The Royal Society Interface
ISSN: 1742-5689 1742-5662
Published: The Royal Society 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa55531
first_indexed 2020-10-28T08:15:03Z
last_indexed 2024-11-14T12:08:26Z
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title A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
spellingShingle A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
Dmitri Finkelshtein
title_short A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
title_full A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
title_fullStr A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
title_full_unstemmed A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
title_sort A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models
author_id_str_mv 4dc251ebcd7a89a15b71c846cd0ddaaf
author_id_fullname_str_mv 4dc251ebcd7a89a15b71c846cd0ddaaf_***_Dmitri Finkelshtein
author Dmitri Finkelshtein
author2 Otso Ovaskainen
Panu Somervuo
Dmitri Finkelshtein
format Journal article
container_title Journal of The Royal Society Interface
container_volume 17
container_issue 171
container_start_page 20200655
publishDate 2020
institution Swansea University
issn 1742-5689
1742-5662
doi_str_mv 10.1098/rsif.2020.0655
publisher The Royal Society
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Mathematics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Mathematics
url http://dx.doi.org/10.1098/rsif.2020.0655
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published_date 2020-10-01T08:58:09Z
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