2023/06/19 by Maeve Upton, Andrew Parnell, Upton, Maeve +3 · 1 citation
Decision Sciences · Earth and Planetary Sciences · #Applications (stat.AP) #FOS: Computer and information sciences #Geophysics and Gravity Measurements #Oceanographic and Atmospheric Processes #demographic modeling and climate adaptation
paper · pdf · doi:10.48550/arxiv.2306.10847
openalex publication_date 2023/06/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
We present reslr, an R package to perform Bayesian modelling of relative sea level data. We include a variety of different statistical models previously proposed in the literature, with a unifying framework for loading data, fitting models, and summarising the results. Relative sea-level data often contain measurement error in multiple dimensions and so our package allows for these to be included in the statistical models. When plotting the output sea level curves, the focus is often on comparing rates of change, and so our package allows for computation of the derivative of sea level curves with appropriate consideration of the uncertainty. We provide a large example dataset from the Atlantic coast of North America and show some of the results that might be obtained from our package.