Seafaring and Modelling

Dados Bibliográficos

ID12810554
AutoresEmma Slayton (0000-0003-2230-3101, Carnegie Mellon University, autor correspondente), Katherine Jarriel (0000-0003-3074-2948, Purdue University West Lafayette), Alvaro Montenegro (0000-0001-6848-1996, The Ohio State University), Crystal El Safadi (0000-0001-6399-5875, University of Southampton), Karl Smith-Byrne (0000-0002-1932-7463, University of Oxford), Sara Zaia (Harvard University Press)
Ano2025
Volume20
Fascículo3
Páginas601-628
Data de publicação2025-08-18
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Maritime Archaeology (JOURNAL)
Identificadores do periódicoISSN: 1557-2285 • E-ISSN: 1557-2293
EditoraSpringer Nature (PUBLISHER • SG)
DOI10.1007/s11457-025-09455-5
OpenAlexW4413276905
IdiomaEN
Citações recebidas2
Referências citadas66

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

Archaeology · Ethnology · Geography · Sociology · Anthropology · History · Marine and fisheries research · Oil Spill Detection and Mitigation