Archaeological predictive model of southwestern Kansas
Issue Date
2006-12-31Author
Campbell, Joshua Stewart
Publisher
University of Kansas
Type
Thesis
Degree Level
M.A.
Discipline
Geography
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This item is protected by copyright and unless otherwise specified the copyright of this thesis/dissertation is held by the author.
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Show full item recordAbstract
Knowledge on the archaeological condition of southwestern Kansas is anomalously low, therefore a high-resolution archaeological predictive model has been constructed for the High Plains region of southwestern Kansas. Using quantitative data about the environment as independent variables, the model was constructed using a combination of Geographic Information Systems (GIS) and statistical software. The location of sites was quantitatively related to the environment through a binary logistic regression analysis. The derived regression equation was used to create a unique probability score for each of the 20 million land parcels in the study area. Analysis indicates the model offers a significant increase (30%) over a random classification. 85% of known site locations and 60% of known non-site locations are accurately predicted. In total, the area predicted as site-present comprises 41% of the total study area; within which, the chances of finding a site are 2.15 times as likely as random.
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