Torrence, R., Wright, R. and Conway, R. (2004). Identification of starch granules using image analysis and multivariate techniques. J Archaeol Sci 31 (5). Vol 31(5), pp. 519-532.

Title
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Title:		 Identification of starch granules using image analysis and multivariate techniques
Issue
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Issue:		 J Archaeol Sci 31 (5)
Series
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Series:		 Journal of Archaeological Science
Volume
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Volume:		 31 (5)
Page Start/End
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Page Start/End:		 519 - 532
Biblio Note
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Biblio Note		 Please note that this is a bibliographic record only, as originally entered into the BIAB database. The ADS have no files for download, and unfortunately cannot advise further on where to access hard copy or digital versions.
Publication Type
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Publication Type:		 Journal
Abstract
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Abstract:		 Realisation of the full potential of ancient starch analysis requires the establishment of comprehensive identification keys. Multivariate analysis of data recorded from digital images can be used to construct an automatic system of classification. The authors used digital image analysis to record 18 variables for 1998 starch granules representing 29 species. High success rates for classifying these into their correct plant taxa were achieved by three different methods of discriminant analysis. The results confirm earlier studies that have shown that the morphology of many starch granules is distinctive to a specific plant taxon, and demonstrate that multivariate analyses can play a part in the establishment of starch granule classification keys. \r\n\r\nAuthor Keywords: Author Keywords: Starch granules; Multivariate analysis; Digital image analysis
Author
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Author:		 Robin Torrence
Richard Wright
Rebecca Conway
Year of Publication
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Year of Publication:		 2004
Locations
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Subjects / Periods:
Starch Granules (Auto Detected Subject)
Plant Taxon (Auto Detected Subject)
Source
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Source:
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BIAB (The British & Irish Archaeological Bibliography (BIAB))
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Created Date:		 03 Dec 2004