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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
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first_indexed 2020-10-28T08:15:03Z
last_indexed 2021-08-17T03:18:16Z
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spelling 2021-08-16T13:57:29.1710437 v2 55531 2020-10-28 A general mathematical method for predicting spatio-temporal correlations emerging from agent-based models 4dc251ebcd7a89a15b71c846cd0ddaaf 0000-0001-7136-9399 Dmitri Finkelshtein Dmitri Finkelshtein true false 2020-10-28 SMA Journal Article Journal of The Royal Society Interface 17 171 20200655 The Royal Society 1742-5689 1742-5662 agent-based model, marked point process, Markov evolution, theoretical ecology, spatio-temporal correlation 1 10 2020 2020-10-01 10.1098/rsif.2020.0655 http://dx.doi.org/10.1098/rsif.2020.0655 COLLEGE NANME Mathematics COLLEGE CODE SMA Swansea University 2021-08-16T13:57:29.1710437 2020-10-28T08:10:39.2636043 Faculty of Science and Engineering School of Mathematics and Computer Science - Mathematics Otso Ovaskainen 1 Panu Somervuo 2 Dmitri Finkelshtein 0000-0001-7136-9399 3 55531__18554__b3472fc7b0ca4cd29ccb08fdf1b0c2c0.pdf main.pdf 2020-11-02T08:20:00.1968129 Output 895939 application/pdf Version of Record true © 2020 The Authors. Published under the terms of a Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/ 55531__18555__dd251a150bea4d009ce68a66b626fc79.pdf supplementary.pdf 2020-11-02T08:21:41.5944677 Output 1541820 application/pdf Supplemental material true false
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
document_store_str 1
active_str 0
published_date 2020-10-01T04:09:48Z
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