Predicting Archaeological Site Locations in the McInnis Canyons National Conservation Area in Colorado

Author(s): Lucy Harrington; Natalie Clark

Year: 2015

Summary

Archaeological predictive models are used in two main applications to 1) identify areas of cultural resource sensitivity in an unsurveyed area and 2) better understand historic and prehistoric use of a landscape. The model created here straddles these two applications, serving to predict cultural resource sensitivity in the primarily unsurveyed McInnis Canyons National Conservation Area (MCNCA), and to understand the distribution of known sites in that area. The Bureau of Land Management (BLM) manages the NCA and its resources. The goal of this predictive model is to aid the BLM in the management of the cultural resources within the MCNCA and better understand which areas may have been important prehistorically and historically.

McInnis Canyons is a relatively new national conservation area, less than 10% of it has been surveyed for cultural resources. A predictive model is extremely useful to the land managers in this case. Hopefully it will aid in decision making processes and facilitate the creation of new recreation facilities. Predictive models have been met with varying success rates. The predictive model created here was at least partially successful during initial testing, further inventory will prove its utility.

SAA 2015 abstracts made available in tDAR courtesy of the Society for American Archaeology and Center for Digital Antiquity Collaborative Program to improve digital data in archaeology. If you are the author of this presentation you may upload your paper, poster, presentation, or associated data (up to 3 files/30MB) for free. Please visit http://www.tdar.org/SAA2015 for instructions and more information.

Cite this Record

Predicting Archaeological Site Locations in the McInnis Canyons National Conservation Area in Colorado. Lucy Harrington, Natalie Clark. Presented at The 80th Annual Meeting of the Society for American Archaeology, San Francisco, California. 2015 ( tDAR id: 398013)

This Resource is Part of the Following Collections

Spatial Coverage

min long: -122.761; min lat: 29.917 ; max long: -109.27; max lat: 42.553 ;