2020
DOI: 10.1002/aps3.11322
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cRacle: R tools for estimating climate from vegetation

Abstract: Premise The Climate Reconstruction Analysis using Coexistence Likelihood Estimation (CRACLE) method utilizes a robust set of modeling tools for estimating climate and paleoclimate from vegetation using large repositories of biodiversity data and open access R software. Methods Here, we implement a new R package for the estimation of climate from extant and fossil vegetation. The ‘cRacle’ package implements functions for data access, aggregation, and modeling to estimate climate from plant community composition… Show more

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Cited by 10 publications
(2 citation statements)
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“…Three techniques have been applied to reconstruct terrestrial paleoclimates of the Neogene from the UK. The widely utilized Co‐existence Approach is compared to two distinct statistical techniques: CREST(Climate REconstruction SofTware; Chevalier et al., 2014) and CRACLE (Climate Reconstruction using Coexistence Likelihood Estimation; Harbert & Baryiames, 2020; Harbert & Nixon, 2015). The aim is to better capture uncertainties in terrestrial climate reconstructions.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Three techniques have been applied to reconstruct terrestrial paleoclimates of the Neogene from the UK. The widely utilized Co‐existence Approach is compared to two distinct statistical techniques: CREST(Climate REconstruction SofTware; Chevalier et al., 2014) and CRACLE (Climate Reconstruction using Coexistence Likelihood Estimation; Harbert & Baryiames, 2020; Harbert & Nixon, 2015). The aim is to better capture uncertainties in terrestrial climate reconstructions.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, in this study we focus on the results of N-CRACLE to accommodate for this. For more detail on the method, see Harbert and Nixon (2015) and the "cRacle" package is explained in detail in Harbert and Baryiames (2020). Original documentation of the "cRacle" R code is available with the package code (https://github.com/rsh249/cRacle).…”
Section: Reconstruction Technique Descriptionsmentioning
confidence: 99%