| Title | A study of the lake sediment geochemistry of the Melville Peninsula using multivariate methods: Applications for predictive geological mapping |
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| Author | Grunsky, E C; Mueller, U A; Corrigan, D |
| Source | Journal of Geochemical Exploration vol. 141, 2014 p. 15-41, https://doi.org/10.1016/j.gexplo.2013.07.013 |
| Image |  |
| Year | 2014 |
| Alt Series | Earth Sciences Sector, Contribution Series 20130098 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | on-line; digital |
| File format | pdf |
| Province | Nunavut |
| NTS | 46N; 46O; 46P; 47A; 47B |
| Area | Melville Peninsula |
| Lat/Long WENS | -86.0000 -81.0000 68.5000 67.0000 |
| Subjects | geochemistry; mathematical and computational geology; statistics; statistical methods; computer mapping; mapping techniques |
| Illustrations | location maps; plots; diagrams |
| Program | GEM: Geo-mapping for Energy and Minerals Multiple Metals - Melville Peninsula (Nunavut) |
| Released | 2014 06 01 |
| Abstract | The effectiveness of predictive geological mapping was tested using re-analyzed lake sediment geochemical data from lakes across the Melville Peninsula in Nunavut, Canada. The treatment of lake sediment
geochemical data within the compositional framework of logratio analysis and the corresponding use of principal component analysis, analysis of variance, linear discriminant analysis and spatial analysis with ordinary kriging provide an informative
and quantitative manner for lithologic mapping. Principal component analysis provides useful information on the multi-element associations based on the contrast of rock types in the area. Supracrustal sedimentary rocks have a multi-element character
that is distinctive from rocks derived from granitoid and gneissic rocks. The analysis of variance provides details on which elements are the best discriminators for differentiating between the rock types represented by the lake sediment geochemistry
and the spatial analysis provides insight into the direction and spatial continuity of the elements associated with specific map units. Linear discriminant analysis provides a basis for distinguishing between the different map units and provides a
method of validating the predictive capability of mapping the underlying map units based on the lake sediment geochemistry. The application of multivariate statistical methods on lake sediment geochemical data provides the basis for establishing an
objective approach for discovering and classifying geochemical processes from which existing geological maps can be tested and validated and new geological maps can be made in areas where sufficient geological information is lacking. |
| Summary | (Plain Language Summary, not published)
Lake sediment geochemical data have been evaluated using statistical methods in the Melville Peninsula area of Nunavut. The application of these methods
highlights patterns and features that reveal the underlying and source bedrock material. The application of statistical classification methods permits the prediction of the source bedrock in areas where the lake sediment coverage is missing and can
be extended to areas where there is lake sediment geochemical data but no known geological map. The results of this study provide a mechanism for remotely predicting the geology in Canada's north. |
| GEOSCAN ID | 292711 |
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