rbacon: Bayesian Age-Depth Models for Deposits

An approach for age-depth modelling uses Bayesian statistics to reconstruct accumulation histories. The method combines radiocarbon dates with prior information on accumulation rates and variability, as described by Blaauw & Christen (2011). The dataset likely contains parameters and outputs from such Bayesian reconstructions.

Use Cases

• Reconstruct sediment accumulation histories based on Bayesian inference of radiocarbon dates.
• Model chronological uncertainty in geological deposits based on prior information on accumulation rates.
• Calibrate and integrate disparate chronological data for paleoenvironmental records.

Strengths

• Method is based on a peer-reviewed statistical approach (Blaauw & Christen, 2011).
• Description explicitly mentions combining radiocarbon dates with prior information on accumulation rates.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Maarten Blaauw

Collection Method

Likely contains outputs from the rbacon Bayesian age-depth modelling software.

Time Range

Temporal coverage is not specified.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not specified.