DOI: 10.1016/j.earscirev.2020.103149
论文题名: Resampling (detrital) zircon age distributions for accurate multidimensional scaling solutions
作者: Nordsvan A.R. ; Kirscher U. ; Kirkland C.L. ; Barham M. ; Brennan D.T.
刊名: Earth Science Reviews
ISSN: 00128252
出版年: 2020
卷: 204 语种: 英语
中文关键词: Detrital Zircon
; Kolmogorov-Smirnov
; Kuiper
; McArthur Basin
; Resampling
英文关键词: accuracy assessment
; age determination
; bootstrapping
; geochronology
; numerical model
; uncertainty analysis
; zircon
英文摘要: Multidimensional scaling (MDS) has become an important tool in detrital zircon geochronology for discriminating and comparing multiple samples, especially where large datasets are concerned. However, the non-parametric test statistics used in MDS (e.g., Kolmogorov–Smirnov [K-S] or Kuiper) to calculate differences between detrital zircon samples are sensitive to differences in grain age uncertainty, for example, when comparing compilations of U-Pb data produced via different analytical techniques. We illustrate the effect of different age uncertainties on comparison metrics and MDS analysis using synthetic populations. Additionally, we introduce two methods that reduce these limitations: an error resampling MDS (ERM) technique and bootstrap resampling with Procrustes rotation (BoPR) technique. These new resampling techniques reduce limitations associated with MDS. We demonstrate the utility of these new tools by comparing detrital zircon samples from the Mesoproterozoic Roper Group of Northern Australia with nearby potential source regions. Mitigating the limitations of MDS, and the underlying statistics by employing resampling techniques makes MDSa more potent means of addressing source to sink relationships in detrital zircon studies. © 2020 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/166198
Appears in Collections: 气候变化与战略
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作者单位: Department of Earth Sciences, University of Hong Kong, Pokfulam, Hong Kong; Department of Geosciences, Eberhard Karls University of Tübingen, Tübingen, 72074, Germany; Department of Geosciences, University of Tübingen, Tübingen, 72074, Germany; Centre for Exploration Targeting – Curtin Node, School of Earth and Planetary Sciences, Curtin University, Bentley, WA 6845, Australia
Recommended Citation:
Nordsvan A.R.,Kirscher U.,Kirkland C.L.,et al. Resampling (detrital) zircon age distributions for accurate multidimensional scaling solutions[J]. Earth Science Reviews,2020-01-01,204