Please use this identifier to cite or link to this item: https://knowledgecommons.lakeheadu.ca/handle/2453/5111
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dc.contributor.advisorBoyd, Matthew-
dc.contributor.authorMozarowski, Steven-
dc.date.accessioned2023-04-25T14:07:24Z-
dc.date.available2023-04-25T14:07:24Z-
dc.date.created2023-
dc.date.issued2023-
dc.identifier.urihttps://knowledgecommons.lakeheadu.ca/handle/2453/5111-
dc.description.abstractThe 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. [...]en_US
dc.language.isoen_USen_US
dc.subjectStarch grain analysisen_US
dc.subjectPaleoenvironmental reconstructionen_US
dc.titleAn exploration of image recognition in archaeological starch analysisen_US
dc.typeThesisen_US
etd.degree.nameMaster of Scienceen_US
etd.degree.levelMasteren_US
etd.degree.disciplineArchaeological Scienceen_US
etd.degree.grantorLakehead Universityen_US
dc.contributor.committeememberYang, Yimin-
dc.contributor.committeememberMetcalfe, Jessica-
Appears in Collections:Electronic Theses and Dissertations from 2009

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