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maarten14c
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).
Maintained by Maarten Blaauw. Last updated 1 months ago.
age-depth-modelbayesianholocenelakesocean-sedimentspeatradiocarbon-calibrationcpp
7 stars 6.80 score 57 scripts 1 dependentsmaarten14c
clam: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>.
Maintained by Maarten Blaauw. Last updated 3 months ago.
age-depth-modelradiocarbon-calibration
3 stars 5.80 score 28 scriptsmaarten14c
rplum:Bayesian Age-Depth Modelling of Cores Dated by Pb-210
An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for 210Pb-dated deposits using prior information. It can combine 210Pb, radiocarbon, and other dates in the chronologies. See Aquino et al. (2018) <doi:10.1007/s13253-018-0328-7>. Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors, and there remains a degree of overlap between the two packages.
Maintained by Maarten Blaauw. Last updated 3 months ago.
2 stars 3.94 score 11 scripts