actR

Abrupt Change Toolkit in R

By Nick McKay in Software Data Analysis

actR (Abrupt Change Toolkit in R) is an R package I’m developing to streamline abrupt change detection in paleoclimate datasets. This tool addresses the critical need for standardized, statistically robust methods to identify and analyze rapid climate transitions in the geological record.

Key Features

Comprehensive Change Detection

  • Single-site abrupt change detection algorithms
  • Error propagation throughout the analysis workflow
  • Robust null hypothesis testing framework
  • Support for age-uncertain data

Data Integration

  • Optimized for LiPD (Linked Paleo Data) format
  • Flexible input handling for matrix and vector data
  • Standardized data preparation with prepareInput()

Statistical Rigor

  • Uncertainty propagation with propagateUncertainty()
  • Hypothesis testing with testNullHypothesis()
  • Multiple visualization methods via summary() and plot()

Project Context

actR is funded by the Belmont Forum as part of the “Abrupt Changes in Climate and Ecosystems - Data & e-Infrastructure (ACCEDE)” project. This international collaboration aims to improve our understanding of rapid environmental changes through enhanced data analysis tools.

Development Status

Currently in experimental development with basic functionality available. The package represents an active area of research in paleoclimate methodology, focusing on the detection and characterization of abrupt environmental changes.

Installation

remotes::install_github("LinkedEarth/actR")

Development Team

  • Nicholas McKay (Author, Maintainer) - Northern Arizona University
  • David Edge - Northern Arizona University
  • Chris Hancock - Northern Arizona University
  • Julien Emile-Geay - University of Southern California
  • Michael Erb - Northern Arizona University

Research Applications

actR enables researchers to:

  • Identify rapid climate transitions in proxy records
  • Quantify the timing and magnitude of abrupt changes
  • Assess the statistical significance of detected changes
  • Compare change detection across multiple records and regions

The toolkit contributes to our understanding of climate system stability and the potential for rapid transitions in Earth’s climate system.

Posted on:
January 1, 2023
Length:
2 minute read, 272 words
Categories:
Software Data Analysis
Tags:
R package abrupt change paleoclimate change detection LinkedEarth
See Also:
geoChronR
PReSto
LiPDverse