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Archaeological Anthropology

2007

Western Michigan University

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Full-Text Articles in Social and Behavioral Sciences

Building A Predictive Model For Paleo Indian Archaeological Site Location Using Geographic Information Systems, Zachary Jaime Apr 2007

Building A Predictive Model For Paleo Indian Archaeological Site Location Using Geographic Information Systems, Zachary Jaime

Masters Theses

This research is a multi step method to predict unknown Paleoindian archaeological site locations within Pine Bluffs, Wyoming, situated in the southeastern corner of the state, using a Geographic Information System (GIS). The GIS technology is being used to predict Paleoindian archaeological site locations and will help demonstrate the geographic similarities and differences between already known Paleoindian archaeological sites and random non-site locations in the Pine Bluffs region. Using GIS, one can note the similarities and differences between the Paleoindian sites and the surrounding landscape and, with help of logistic regression analysis, one can predict the location of unknown Paleoindian …


110- Geophysical And Archaeological Survey Of Lake Bluff Park, St. Joseph, Michigan, Michael Nassaney, William Sauck Feb 2007

110- Geophysical And Archaeological Survey Of Lake Bluff Park, St. Joseph, Michigan, Michael Nassaney, William Sauck

Reports of Investigations

Geophysical and archaeological surveys were conducted in a segment of Lake Bluff Park immediately west of Lake Boulevard in St. Joseph, Michigan during Fall 2005. The surveys were conducted because background research had indicated the potential for archaeological remains in the project area, particularly the construction of Fort Miami in the vicinity in 1679 and encounters with human burials along the bluff edge in the nineteenth century. The City of St. Joseph requested the survey to avoid disturbing potentially significant subsurface remains during excavations to replace utility lines beneath Lake Boulevard.

Sixteen geophysical blocks were surveyed, comprising approximately 35% of …