Date of Award

5-2021

Culminating Project Type

Thesis

Degree Name

Cultural Resources Management Archaeology: M.S.

Department

Anthropology

College

College of Liberal Arts

First Advisor

Mark Muñiz

Second Advisor

Robbie Mann

Third Advisor

Michael Hilton

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Keywords and Subject Headings

predictability model, archaeology, predictive model

Abstract

This research focuses on an area deemed the Dome Analysis Area (i.e., Dome) in western South Dakota on the Black Hills National Forest. With the aid of geographic information systems (GIS) and statistics, the identification of favorable locations to analyze that may indicate where cultural resources occur will be illustrated through statistically significant associations between the presence or absence of cultural resources and specific environmental variables. The original approach proposed for this research in 2014 intended to build a model for predicting cultural site locations to facilitate land management planning activities more efficiently. In the process of formulating the model, a number of unexpected challenges were encountered that required a shift in focus to instead test for statistically significant associations between the presence or absence of cultural resources and specific environmental variables. The results of this study indicate that the sheer number of potential variables that may factor into site selection decisions can introduce substantial challenges when attempting to analyze those decisions using predictive models.

Hostad_MasterDataset_042521.xlsx (75 kB)
Master Dataset - Appendix C

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