Articles | Volume 18, issue 4
https://doi.org/10.5194/cp-18-821-2022
https://doi.org/10.5194/cp-18-821-2022
Research article
 | 
19 Apr 2022
Research article |  | 19 Apr 2022

crestr: an R package to perform probabilistic climate reconstructions from palaeoecological datasets

Manuel Chevalier

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Cited articles

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Birks, H. J. B., Heiri, O., Seppä, H., and Bjune, A. E.: Strengths and weaknesses of quantitative climate reconstructions based on Late-Quaternary biological proxies, The Open Ecology Journal, 3, 68–110, https://doi.org/10.2174/1874213001003020068, 2010. a
Bivand, R. and Rundel, C.: rgeos: Interface to Geometry Engine – Open Source (“GEOS”), r package version 0.5-5, https://CRAN.R-project.org/package=rgeos (last access: February 2022), 2020. a
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Short summary
This paper introduces a new R package to perform quantitative climate reconstructions from palaeoecological datasets. The package includes calibration data for several commonly used terrestrial (e.g. pollen) and marine (e.g. foraminifers) climate proxies to enable its use in various environments globally. In addition, the built-in graphical diagnostic tools simplify the evaluation and interpretations of the results. No coding skills are required to use crestr.