Please use this identifier to cite or link to this item:
https://knowledgecommons.lakeheadu.ca/handle/2453/5111
Title: | An exploration of image recognition in archaeological starch analysis |
Authors: | Mozarowski, Steven |
Keywords: | Starch grain analysis;Paleoenvironmental reconstruction |
Issue Date: | 2023 |
Abstract: | The goal of this thesis was to produce a statistical method of assigning species to starch granules recovered from eastern North American archaeological assemblages. Starch grain analysis is an archaeobotanical tool that can be used to answer important questions about prehistoric diet and medicine use. In eastern North America this technique can be useful in tracking the spread and adoption of Peruvian and Mexican cultivars maize and beans, as well as identify the use of locally occurring starch rich plants which would have been used as food and medicines. [...] |
URI: | https://knowledgecommons.lakeheadu.ca/handle/2453/5111 |
metadata.etd.degree.discipline: | Archaeological Science |
metadata.etd.degree.name: | Master of Science |
metadata.etd.degree.level: | Master |
metadata.dc.contributor.advisor: | Boyd, Matthew |
metadata.dc.contributor.committeemember: | Yang, Yimin Metcalfe, Jessica |
Appears in Collections: | Electronic Theses and Dissertations from 2009 |
Files in This Item:
File | Description | Size | Format | |
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MozarowskiS2023m-1a.pdf | 4.55 MB | Adobe PDF | ![]() View/Open |
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