rbacon - Age-Depth Modelling using Bayesian Statistics
An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
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age-depth-modelbayesianholocenelakesocean-sedimentspeatradiocarbon-calibrationcpp
6.93 score 8 stars 1 dependents 65 scripts 1.4k downloadsrintcal - Radiocarbon Calibration Curves
The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
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calibrationradiocarbon-calibrationradiocarbon-dates
5.60 score 6 stars 5 dependents 11 scripts 1.0k downloadsclam - Classical Age-Depth Modelling of Cores from Deposits
Performs 'classical' age-depth modelling of dated sediment deposits - prior to applying more sophisticated techniques such as Bayesian age-depth modelling. Any radiocarbon dated depths are calibrated. Age-depth models are constructed by sampling repeatedly from the dated levels, each time drawing age-depth curves. Model types include linear interpolation, linear or polynomial regression, and a range of splines. See Blaauw (2010) <doi:10.1016/j.quageo.2010.01.002>.
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age-depth-modelradiocarbon-calibration
5.13 score 3 stars 30 scripts 449 downloads