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2020
DOI: 10.1016/j.earscirev.2020.103149
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Resampling (detrital) zircon age distributions for accurate multidimensional scaling solutions

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Cited by 20 publications
(8 citation statements)
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“…The MDS approach plots the samples in Euclidean space (two or more dimensions) while attempting to honor the differences among samples in the cross‐correlation matrix. These results are easiest to visualize in two‐dimensional Euclidean space; viewed this way, the distance between samples in the MDS plot is roughly equal to the similarity between the samples, and samples containing similar detrital zircon populations will plot in the same region (see Vermeesch, 2013 and Nordsvan et al, 2020 for further description of MDS).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The MDS approach plots the samples in Euclidean space (two or more dimensions) while attempting to honor the differences among samples in the cross‐correlation matrix. These results are easiest to visualize in two‐dimensional Euclidean space; viewed this way, the distance between samples in the MDS plot is roughly equal to the similarity between the samples, and samples containing similar detrital zircon populations will plot in the same region (see Vermeesch, 2013 and Nordsvan et al, 2020 for further description of MDS).…”
Section: Methodsmentioning
confidence: 99%
“…Based on geological information, visual comparison of the probability density plots (Figures 8 and 9) and the results of the MDS cross-correlation pattern ( Figure 10) we consider the detrital zircon samples to indicate four separate provenance "groups" as discussed below. Due to the different analytical method used for the Pioneer metamorphic core complex samples (SIMS) compared to the remainder of the data set (LA-ICP-MS), they were not included in the MDS statistical comparison (e.g., Nordsvan et al, 2020) and were grouped entirely on geological information and visual comparison of probability density plots. 4.5.1.…”
Section: Detrital Zircon Provenance Groupsmentioning
confidence: 99%
“…Based on source-to-sink theory, sedimentary provenance analysis in a basin can effectively decipher the evolutionary history of adjacent ranges (Fedo et al, 2003;Najman, 2006;Kimbrough et al, 2015;Koshnaw et al, 2018;Coutts et al, 2019;Nordsvan et al, 2020;Resentini et al, 2020). Basin analysis has been applied to several mountain fronts in the Pamir-WK region, which has constrained the evolutionary history of its adjacent ranges.…”
Section: Rapid Oligocene Uplift In the Southern West Kunlun Mountainsmentioning
confidence: 99%
“…Until recently, quantitative assessment of detrital zircon distributions and potential source similarities/dissimilarities was limited to one-dimension, often (U-Pb) age-only, statistical comparison methods (e.g. Nordsvan et al, 2020;Saylor & Sundell, 2016;Vermeesch, 2012Vermeesch, , 2013Vermeesch, , 2018. However, it is difficult to differentiate between separate source regions with similar magmatic histories using these methods.…”
Section: Evaluating the Stenian Sourcesmentioning
confidence: 99%
“…1.3 to 0.9 Ga zircon components. MDS plots are used to visualize the similarity of datasets, where similar datasets plot closer together in Cartesian space, and less similar datasets plot further apart (see Nordsvan et al., 2020; Saylor & Sundell, 2021; Vermeesch, 2013, for further discussion of MDS plots as applied to zircon datasets). Statistically nearest (or most similar) sources (solid arrow) and second nearest (dashed arrow) geologically feasible sources are indicated.…”
Section: Laurentian Rifting and The Sauk Transgressionmentioning
confidence: 99%