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• W2806889538 abstract "Recent advances in statistical methods for structural geology make it possible to treat nearly all types of structural geology field data. These methods provide a way to objectively test hypotheses and to quantify uncertainty, and their adoption into standard practice is important for future quantitative analysis in structural geology. We outline an approach for structural geologists seeking to incorporate statistics into their workflow using examples of statistical analyses from two locations within the western Idaho shear zone. In the West Mountain location, we test the published interpretation that there is a bend in the shear zone at the kilometer scale. Directional statistics on foliations corroborate this interpretation, while orientation statistics on foliation-lineation pairs do not. This discrepancy leads us to reconsider an assumption made in the earlier work. In the Orofino location, we present results from a full statistical analysis of foliation-lineation pairs, including data visualization, regressions, and inference. These results agree with thermochronological evidence that suggests that the Orofino area comprises two distinct, subparallel shear zones. The R programming language scripts that were used for both statistical analyses can be downloaded to reproduce the statistical analyses of this paper." @default.
• W2806889538 created "2018-06-13" @default.
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• W2806889538 date "2019-08-01" @default.
• W2806889538 modified "2023-09-26" @default.
• W2806889538 title "The utility of statistical analysis in structural geology" @default.
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• W2806889538 doi "https://doi.org/10.1016/j.jsg.2018.05.030" @default.
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