CoinCalc -- A new R package for quantifying simultaneities of event series

TL;DR

CoinCalc is an R package that enables quantification and significance testing of event coincidences in two series, with applications demonstrated in geosciences for meteorological and land cover data.

Contribution

It introduces a novel R package for event coincidence analysis, including significance tests and visualization tools, tailored for geoscientific research.

Findings

Effective quantification of event simultaneity in geoscience data

Provides significance testing methods for event coincidence analysis

Demonstrated utility in meteorology and land cover studies

Abstract

We present the new R package CoinCalc for performing event coincidence analysis (ECA), a novel statistical method to quantify the simultaneity of events contained in two series of observations, either as simultaneous or lagged coincidences within a user-specific temporal tolerance window. The package also provides different analytical as well as surrogate-based significance tests (valid under different assumptions about the nature of the observed event series) as well as an intuitive visualization of the identified coincidences. We demonstrate the usage of CoinCalc based on two typical geoscientific example problems addressing the relationship between meteorological extremes and plant phenology as well as that between soil properties and land cover.