ORCID Profile
0000-0001-5899-8035
Current Organisations
GNS Science
,
GNS Science Ltd
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Publisher: Informa UK Limited
Date: 02-10-2014
Publisher: American Geophysical Union (AGU)
Date: 07-12-2010
DOI: 10.1029/2010EO490001
Publisher: Geological Society of America
Date: 18-09-2012
DOI: 10.1130/G33614.1
Publisher: Elsevier BV
Date: 07-2009
DOI: 10.1016/J.FORSCIINT.2009.03.018
Abstract: Discrimination of material based on elemental composition was achieved within a compositional data (CoDa) analysis framework in a form appropriate for use in forensic science. The methods were carried out on ex le data from New Zealand nephrite. We have achieved good separation of the in situ outcrops of nephrite from within a well-defined area. The most significant achievement of working within the CoDa analysis framework is that the implications of the constraints on the data are acknowledged and dealt with, not ignored. The full composition was reduced based on collinearity of elements, principal components analysis (PCA) and scalings from a backwards linear discriminant analysis (LDA). Thus, a descriptive subcomposition was used for the final discrimination, using LDA, and proved to be more successful than using the full composition. The classification based on the LDA model showed a mean error rate of 2.9% when validated using a 10 repeat, three-fold cross-validation. The methods presented lend objectivity to the process of interpretation, rather than relying on subjective pattern matching type approaches.
Publisher: Springer Science and Business Media LLC
Date: 18-05-2023
DOI: 10.1038/S41597-023-02152-9
Abstract: A dataset to describe exposed bedrock and surficial geology of Antarctica has been constructed by the GeoMAP Action Group of the Scientific Committee on Antarctic Research (SCAR) and GNS Science. Our group captured existing geological map data into a geographic information system (GIS), refined its spatial reliability, harmonised classification, and improved representation of glacial sequences and geomorphology, thereby creating a comprehensive and coherent representation of Antarctic geology. A total of 99,080 polygons were unified for depicting geology at 1:250,000 scale, but locally there are some areas with higher spatial resolution. Geological unit definition is based on a mixed chronostratigraphic- and lithostratigraphic-based classification. Description of rock and moraine polygons employs the international Geoscience Markup Language (GeoSciML) data protocols to provide attribute-rich and queryable information, including bibliographic links to 589 source maps and scientific literature. GeoMAP is the first detailed geological map dataset covering all of Antarctica. It depicts ‘known geology’ of rock exposures rather than ‘interpreted’ sub-ice features and is suitable for continent-wide perspectives and cross-discipline interrogation.
Publisher: American Geophysical Union (AGU)
Date: 09-2013
DOI: 10.1002/GGGE.20236
Publisher: Informa UK Limited
Date: 19-03-2023
Publisher: American Geophysical Union (AGU)
Date: 12-2017
DOI: 10.1002/2017GC007202
Publisher: Informa UK Limited
Date: 02-10-2017
Publisher: Geological Society of London
Date: 08-2011
No related grants have been discovered for Simon C. Cox.