Geographic Information System (GIS) Cost Surface Analysis for Forager Travel: Archaeological Settlement Models, Frank Church River of No Return Wilderness, Idaho
Document Type
Oral Presentation
Campus where you would like to present
SURC Ballroom B/C/D
Start Date
21-5-2015
End Date
21-5-2015
Keywords
Archaeology, GIS, caloric expenditure
Abstract
This analysis predicts the caloric cost to travel across the Frank Church River of No Return Wilderness. A cost surface analysis will be conducted using ARCmap geographic information system (GIS) software to determine how many calories prehistoric hunter-gatherers expended traveling across the terrain over a given route. The data derived from this study will be incorporated into an archaeological predictive model that predicts archaeological site locations based on the caloric costs of accessing an area and the caloric benefits of utilizing that area. Since the model predicts the patterns of Native Americans, it will assume that travel is conducted on foot.
Recommended Citation
Saunders, Anthony, "Geographic Information System (GIS) Cost Surface Analysis for Forager Travel: Archaeological Settlement Models, Frank Church River of No Return Wilderness, Idaho" (2015). Symposium Of University Research and Creative Expression (SOURCE). 91.
https://digitalcommons.cwu.edu/source/2015/posters/91
Poster Number
37
Department/Program
Resource Management
Additional Mentoring Department
Resource Management
Geographic Information System (GIS) Cost Surface Analysis for Forager Travel: Archaeological Settlement Models, Frank Church River of No Return Wilderness, Idaho
SURC Ballroom B/C/D
This analysis predicts the caloric cost to travel across the Frank Church River of No Return Wilderness. A cost surface analysis will be conducted using ARCmap geographic information system (GIS) software to determine how many calories prehistoric hunter-gatherers expended traveling across the terrain over a given route. The data derived from this study will be incorporated into an archaeological predictive model that predicts archaeological site locations based on the caloric costs of accessing an area and the caloric benefits of utilizing that area. Since the model predicts the patterns of Native Americans, it will assume that travel is conducted on foot.
Faculty Mentor(s)
Steven Hackenberger