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Not Your Ordinary Models: Exploring Time and Space with Ordinal Regression and Other Methods

Author(s): Christopher Gillam

Year: 2015

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Advances in Archaeological Geographic Information Science and Informatics have enabled the refinement of archaeological statistics and other quantitative methods in recent years. Along the Central Savannah River of South Carolina, recent research on prehistoric site distributions and multicomponency has resulted in the development of several novel methodologies. Multivariate Analysis of Variance (MANOVA) enables the examination of the environmental context of archaeological sites through time. Likewise, Ordinal Regression analyses enable the development of predictive models highlighting the probability of multicompenency across the cultural landscape. The potential for these methods at various scales of analysis are promising.

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Not Your Ordinary Models: Exploring Time and Space with Ordinal Regression and Other Methods. Christopher Gillam. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 398002)


Spatial Coverage

min long: -91.274; min lat: 24.847 ; max long: -72.642; max lat: 36.386 ;

Arizona State University The Andrew W. Mellon Foundation National Science Foundation National Endowment for the Humanities Society for American Archaeology Archaeological Institute of America