Bailey, Liam D., and van de Pol, Martijn (2020) Climwin: Climate Window Analysis. Comprehensive R Archive Network (CRAN).

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Abstract

Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a given biological response. Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.

Climwin is designed for those interested in understanding the impacts of climate, particularly focussed on biological systems. When seeking to understand the effects of climate it is necessary to select a sampling period over which climate is recorded, a climate window. Often this choice is made arbitrarily, with many studies using seasonal values (e.g. spring temperature, winter precipitation). However, these climate windows may not be the most relevant for the biological system in question. If we fail to find a relationship between climate and the biological response it can be difficult to determine whether this is due to climate insensitivity in the biological response or if the choice of climate window is flawed.

Rather than being required to make a single arbitrary choice of climate window, climwin allows users to test the effectiveness of a wide range of possible climate windows with the aim of identifying the most appropriate climate window for further use. climwin gives users the ability to visualise the results of their climate window analysis, using ggplot2, as a means to best interpret and understand the climate window results.

Item ID:	80076
Item Type:	Other
Related URLs:	https://github.com/LiamDBailey/climwin https://researchonline.jcu.edu.au/69661/ https://researchonline.jcu.edu.au/69639/ https://cran.r-project.org/web/checks/ch...
Copyright Information:	Licensed under GNU General Public Licence, Version 2: https://cran.r-project.org/web/licenses/GPL-2
Additional Information:	Publisher: Comprehensive R Archive Network (CRAN)
Date Deposited:	01 Sep 2023 00:59
FoR Codes:	49 MATHEMATICAL SCIENCES > 4905 Statistics > 490502 Biostatistics @ 100%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280118 Expanding knowledge in the mathematical sciences @ 100%
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