Identifying Depositional Processes: Statistical Cluster Analysis at Sacred Ridge
Author(s): Anna Osterholtz; D. Shane Miller
Year: 2024
Summary
This is an abstract from the "Continued Advances in Method and Theory for Commingled Remains" session, at the 89th annual meeting of the Society for American Archaeology.
The Site of Sacred Ridge has the earliest identified Extreme Processing assemblage in the four corners region, with over 14,000 fragments of human bone (representing at least 33 individuals) deposited in two pit structures around AD 810. During excavation, over 9,000 point locations were taken with a total station. During analysis, all fragments were examined with the goal of bone identification, estimation of demographic information (age at death, sex), and identification of taphonomic indicators. These fragments were then subjected to a refitting exercise, resulting in a refit rate of approximately 35%. This presentation will examine the depositional patterns of these refits utilizing a Monte Carlo approach to simulate random mixing. We identified four clusters that could be identified as potentially representing depositional actions (such as the deposition of a basket of bone fragments). We quantified within/between cluster refits using Simpson’s Diversity index, and we found that refits tend to occur within clusters, particularly for the long bones, suggesting that the body was processed based on element, further supporting the systematic nature of the body processing at Sacred Ridge.
Cite this Record
Identifying Depositional Processes: Statistical Cluster Analysis at Sacred Ridge. Anna Osterholtz, D. Shane Miller. Presented at The 89th Annual Meeting of the Society for American Archaeology. 2024 ( tDAR id: 498773)
This Resource is Part of the Following Collections
Keywords
General
Ancestral Pueblo
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Cluster Analysis
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Digital Archaeology: Simulation and Modeling
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Taphonomy and Site Formation
Geographic Keywords
North America: Southwest United States
Spatial Coverage
min long: -124.365; min lat: 25.958 ; max long: -93.428; max lat: 41.902 ;
Record Identifiers
Abstract Id(s): 38153.0