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DC Field | Value | Language |
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dc.contributor.author | Groen, D | - |
dc.contributor.author | McCullough, J | - |
dc.contributor.author | Yudin, Y | - |
dc.coverage.spatial | Singapore | - |
dc.date.accessioned | 2025-08-01T10:55:44Z | - |
dc.date.available | 2025-08-01T10:55:44Z | - |
dc.date.issued | 2025-07-05 | - |
dc.identifier | ORCiD: Derek Groen https://orcid.org/0000-0001-7463-3765 | - |
dc.identifier | Chapter 7 | - |
dc.identifier.citation | Groen, D., McCullough, J. and Yudin, Y. (2025) 'FUMEplot: A Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs', in M. Paszynski, A.S. Barnard and Y.J. Zhang (eds.) Computational Science – ICCS 2025 Workshops. (ICCS 2025). (Lecture Notes in Computer Science, vol. 15911 LNCS). Cham: Springer, pp. 71 - 78. doi: 10.1007/978-3-031-97570-7_7. | en_US |
dc.identifier.isbn | 978-3-031-97569-1 (pbk) | - |
dc.identifier.isbn | 978-3-031-97570-7 (ebk) | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/31659 | - |
dc.description.abstract | Here we present FUMEplot (Facilitated visualisation of Uncertainty in Model Ensemble outputs using plots), a general-purpose library which facilitates the automated visualisation of ensemble modelling outputs. We demonstrate the tool by applying it to three existing agent-based modelling tools, showcasing its ease of (automated) use and potential for wider application. We also describe how visualisations with FUMEplot can be generated automatically with minimal user configuration effort through its integration with the FabSim3 automation framework. | en_US |
dc.description.sponsorship | This work has been supported by the SEAVEA ExCALIBUR project, which has received funding from EPSRC under grant agreement EP/W007711/1, as well as the UNHCR project RBE_001_2025. We are grateful to DoraHacks (https://www.dorahacks.com), which helped make the Hackathon possible where FUMEplot was first established. | en_US |
dc.format.extent | 71 - 78 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science;vol. 15911 | - |
dc.relation.uri | https://www.iccs-meeting.org/archive/iccs2025/papers/159110069.pdf | - |
dc.relation.uri | https://www.iccs-meeting.org/archive/iccs2025/ | - |
dc.rights | Copyright © 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a pre-copyedited, author-produced version of a book chapter accepted for publication in Computational Science – ICCS 2025 Workshops. (ICCS 2025), following peer review. The final authenticated version is available online at https://doi.org/10.1007/978-3-031-97570-7_7 (see: https://www.springernature.com/gp/open-research/policies/book-policies). | - |
dc.rights.uri | https://www.springernature.com/gp/open-research/policies/book-policies | - |
dc.source | 25th International Conference on Computer Science (ICCS 2025) | - |
dc.source | 25th International Conference on Computer Science (ICCS 2025) | - |
dc.subject | model visualisation | en_US |
dc.subject | agent-based modelling | en_US |
dc.subject | output coupling | en_US |
dc.title | FUMEplot: A Prototype Tool for Automated Visualisation of Uncertainties in Ensemble Modelling Outputs | en_US |
dc.type | Conference Paper | en_US |
dc.date.dateAccepted | 2025-04-07 | - |
dc.identifier.doi | https://doi.org/10.1007/978-3-031-97570-7_7 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science | - |
pubs.finish-date | 2025-07-09 | - |
pubs.finish-date | 2025-07-09 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2025-07-07 | - |
pubs.start-date | 2025-07-07 | - |
pubs.volume | 15911 LNCS | - |
dc.identifier.eissn | 1611-3349 | - |
dcterms.dateAccepted | 2025-04-07 | - |
dc.rights.holder | The Author(s), under exclusive license to Springer Nature Switzerland AG | - |
Appears in Collections: | Dept of Computer Science Embargoed Research Papers |
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FullText.pdf | Embargoed until 5 July 2026. Copyright © 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is a pre-copyedited, author-produced version of a book chapter accepted for publication in Computational Science – ICCS 2025 Workshops. (ICCS 2025), following peer review. The final authenticated version is available online at https://doi.org/10.1007/978-3-031-97570-7_7 (see: https://www.springernature.com/gp/open-research/policies/book-policies). | 860.22 kB | Adobe PDF | View/Open |
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