Modeling Small-Arms Distribution on Eighteenth-Century Battle Sites
Author(s): Garrett Silliman
Year: 2023
Summary
This is an abstract from the "SAA 2023: Individual Abstracts" session, at the 88th annual meeting of the Society for American Archaeology.
The application of geographic information systems (GIS) technologies to archaeological investigations continues to provide new perspectives on historical events. Applied to battlefield archaeology, GIS analysis offers an efficient means of predicting potential artifact distribution across a conflict landscape. The approach proposed in this paper allows a user to test historical engagement scenarios within a desktop computing environment utilizing a customized GIS application. The study was intended to develop a framework that allowed for the input of quantifiable parameters in order to illustrate potential artifact patterning. The framework consists of two components, the trajectory model and the methodology for implementing it. Using this coarse-grained approach, it is our contention that small-arms projectile distribution can be estimated for a single engagement, and in doing so provide a more comprehensive view of potential artifact patterning than using KOCOA (Key Terrain, Observation and Fields of Fire, Concealment and Cover, Obstacles, Avenues of Approach/Withdrawal) terrain analysis or historic research alone. Building on prior success using the 1777 Battle of Ridgefield, Connecticut, as a test case, this paper provides the hypothetical modeling of small-arms distribution for the failed 1779 Assault on Fort George (Penobscot), Maine.
Cite this Record
Modeling Small-Arms Distribution on Eighteenth-Century Battle Sites. Garrett Silliman. Presented at The 88th Annual Meeting of the Society for American Archaeology. 2023 ( tDAR id: 474721)
This Resource is Part of the Following Collections
Keywords
General
Digital Archaeology: GIS
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Historic
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History Of Archaeology
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Military Sites
Geographic Keywords
North America: Northeast and Midatlantic
Record Identifiers
Abstract Id(s): 36791.0