JOURNAL ARTICLE
Using Geocomputation and R as a Methodological Tool: Re-Creating Spatial Structures of the Irish Republican Army in Early Twentieth-Century Ireland.
Published In: International Journal of Humanities & Arts Computing: A Journal of Digital Humanities, 2025, v. 19, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kavanagh, Jack 3 of 3
Abstract
This article explores how geocomputational processes can be utilised to re-create historical spatial boundaries using Irish historical data. For this study, a series of spatial objects representing Irish Republican Army (IRA) brigades in County Limerick during 1921 were re-created in R using the Military Service Pension Collection (MSPC), one of the largest archival projects released by the Military Archives of Ireland. Using density equalising projections via cartograms, a series of analyses of the demography of the IRA was undertaken using these internal boundaries. County Limerick along the western seaboard of Ireland was chosen as a case study, as it represents a mixed urban/rural environment outside of the three major population centres on the island of Ireland: Cork, Dublin and Belfast. By deploying a geocomputational approach via the programming language R, this article provides a roadmap for historians and humanities scholars in general to reproduce these findings and spatial boundaries for future research. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Humanities & Arts Computing: A Journal of Digital Humanities. 2025/03, Vol. 19, Issue 1, p1
- Document Type:Article
- Subject Area:Diplomacy and International Relations
- Publication Date:2025
- ISSN:1753-8548
- DOI:10.3366/ijhac.2025.0341
- Accession Number:183293251
- Copyright Statement:Copyright of International Journal of Humanities & Arts Computing: A Journal of Digital Humanities is the property of Edinburgh University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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