Seafaring and modelling
Seafaring and modelling
Seafaring modeling is still a developing science, and there have been many approaches taken to evaluating human sea-based mobility in the past by researchers focused on different regions and time periods. Many models utilize similar processes or data inputs, including climate models, vessel technology studies, and human capabilities. However, being able to decide on the right approach can be difficult, and often relates to the technological know-how of the researcher, access to data on which the model can be based, and a discussion of what information is necessary coming out of the research to answer the initial question posed. This paper details and compares these various methodologies to help provide a foundation for developing future models or applying existing techniques to new areas. The authors, who have used a wide array of methods in their collective research, identify different data types that form inputs for models, describe the development of models, and consider the ways in which researchers can assess the appropriateness of models and data for their research questions. The models discussed in this paper include agent-based modeling, least cost path/route optimization analysis, drift modeling, isochrone analysis, and alternative forms of mapping. This paper provides case studies from different regions and time periods for each of these models. Finally, the authors discuss the relationship between computational models and the archaeological record. We aim for this work to provide a guide to those interested in using computational seafaring models in their research and to serve as a point of comparison for the effectiveness and possible application of current methods and research in future works.
Agent based modeling, Climate data, Modeling, Seafaring
Slayton, Emma
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Jarriel, Katherine
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Montenegro, Alvaro
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Safadi, Crystal
262bdcd0-1f88-41b9-915f-819dec8143dd
Smith, Karl
edba583f-5a6f-4037-9fab-6e9560c21d49
Zaia, Sara
593749d8-3827-4e07-8419-458856571d81
18 August 2025
Slayton, Emma
1984a9f9-2841-42e2-a910-e3e6d3e6a1c0
Jarriel, Katherine
3f1816b4-8eaf-4ec5-9c6d-57aee5eed131
Montenegro, Alvaro
ed7f19a1-be1c-4586-bc5f-6176fe6fb993
Safadi, Crystal
262bdcd0-1f88-41b9-915f-819dec8143dd
Smith, Karl
edba583f-5a6f-4037-9fab-6e9560c21d49
Zaia, Sara
593749d8-3827-4e07-8419-458856571d81
Slayton, Emma, Jarriel, Katherine, Montenegro, Alvaro, Safadi, Crystal, Smith, Karl and Zaia, Sara
(2025)
Seafaring and modelling.
Journal of Maritime Archaeology.
(doi:10.1007/s11457-025-09455-5).
Abstract
Seafaring modeling is still a developing science, and there have been many approaches taken to evaluating human sea-based mobility in the past by researchers focused on different regions and time periods. Many models utilize similar processes or data inputs, including climate models, vessel technology studies, and human capabilities. However, being able to decide on the right approach can be difficult, and often relates to the technological know-how of the researcher, access to data on which the model can be based, and a discussion of what information is necessary coming out of the research to answer the initial question posed. This paper details and compares these various methodologies to help provide a foundation for developing future models or applying existing techniques to new areas. The authors, who have used a wide array of methods in their collective research, identify different data types that form inputs for models, describe the development of models, and consider the ways in which researchers can assess the appropriateness of models and data for their research questions. The models discussed in this paper include agent-based modeling, least cost path/route optimization analysis, drift modeling, isochrone analysis, and alternative forms of mapping. This paper provides case studies from different regions and time periods for each of these models. Finally, the authors discuss the relationship between computational models and the archaeological record. We aim for this work to provide a guide to those interested in using computational seafaring models in their research and to serve as a point of comparison for the effectiveness and possible application of current methods and research in future works.
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s11457-025-09455-5
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Accepted/In Press date: 19 June 2025
Published date: 18 August 2025
Keywords:
Agent based modeling, Climate data, Modeling, Seafaring
Identifiers
Local EPrints ID: 505583
URI: http://eprints.soton.ac.uk/id/eprint/505583
ISSN: 1557-2285
PURE UUID: 3d2916ae-8a35-4650-a899-e5b86a855498
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Date deposited: 14 Oct 2025 16:43
Last modified: 15 Oct 2025 01:54
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Contributors
Author:
Emma Slayton
Author:
Katherine Jarriel
Author:
Alvaro Montenegro
Author:
Karl Smith
Author:
Sara Zaia
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