期刊
CHEMICAL GEOLOGY
卷 312, 期 -, 页码 190-194出版社
ELSEVIER
DOI: 10.1016/j.chemgeo.2012.04.021
关键词
Provenance; Statistics; Geochronology; Density estimation
Since the development of SIMS and LA-ICP-MS technologies in the 1980s and 1990s, single grain U-Pb dating of detrital zircon has quickly become the most popular technique for sedimentary provenance studies. Currently by far the most widespread method for visualising detrital age distributions is the so-called Probability Density Plot (PDP), which is calculated by summing a number of Gaussian distributions whose means and standard deviations correspond to the individual ages and their respective analytical uncertainties. Unfortunately, the PDP lacks a firm theoretical basis and can produce counter-intuitive results when data quantity (number of analyses) and/or quality (precision) is high. As a more robust alternative to the PDP, this paper proposes a standard statistical technique called Kernel Density Estimation (KDE), which also involves summing a set of Gaussian distributions, but does not explicitly take into account the analytical uncertainties. The Java-based DensityPlotter program (http://densityplotter.london-geochron.com) was developed with the aim to facilitate the adoption of KDE plots in the context of detrital geochronology. (C) 2012 Elsevier B.V. All rights reserved.
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