放射性碳年代测定
外推法
地质学
编码(集合论)
离群值
采样(信号处理)
古生物学
计算机科学
统计
数学
人工智能
程序设计语言
计算机视觉
滤波器(信号处理)
集合(抽象数据类型)
标识
DOI:10.1016/j.quageo.2010.01.002
摘要
Age–depth models form the backbone of most palaeoenvironmental studies. However, procedures for constructing chronologies vary between studies, they are usually not explained sufficiently, and some are inadequate for handling calibrated radiocarbon dates. An alternative method based on importance sampling through calibrated dates is proposed. Dedicated R code is presented which works with calibrated radiocarbon as well as other dates, and provides a simple, systematic, transparent, documented and customizable alternative. The code automatically produces age–depth models, enabling exploration of the impacts of different assumptions (e.g., model type, hiatuses, age offsets, outliers, and extrapolation).
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