Date on Master's Thesis/Doctoral Dissertation
Committee Co-Chair (if applicable)
GIS; archaeology; horticulture; Kentucky; settlement patterns; predictive modelling
In this study, I explore the Late Archaic and Woodland settlement patterns (3,000 BC – 1,000 AD) in the Daniel Boone National Forest, Kentucky, and surrounding region within the context of the intensification of horticulture. GIS predictive modelling via automated learning algorithms are employed to explore various environmental variables that may have influenced where and why horticultural intensification occurred. Predictive models using random forest and maximum entropy are created and compared for the Late Archaic and Woodland periods. Results show only minimal variance between the Late Archaic and Woodland settlement patterns within the study area with slope and elevation identified as the most important environmental variables. Additional specificity and categorization of the data may serve to refine the findings and reveal further variances or similarities between the Late Archaic and Woodland periods.
Ray, Jacob Max, "GIS predictive modelling in the Daniel Boone National Forest: settlement patterns during the intensification or horticulture." (2021). Electronic Theses and Dissertations. Paper 3698.