reslr: An R package for relative sea level modelling

TL;DR

reslr is an R package that enables Bayesian modeling of relative sea level data, incorporating measurement errors and derivatives, to facilitate analysis of sea level change rates.

Contribution

The package unifies various statistical models for sea level data, allowing comprehensive analysis with error handling and derivative computation within a single framework.

Findings

Includes measurement error modeling in multiple dimensions.

Allows computation of sea level change rates with uncertainty.

Provides example analysis with North American Atlantic data.

Abstract

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.