myClim: Microclimatic Data Processing

Handling the microclimatic data in R. The 'myClim' workflow begins at the reading data primary from microclimatic dataloggers, but can be also reading of meteorological station data from files. Cleaning time step, time zone settings and metadata collecting is the next step of the work flow. With 'myClim' tools one can crop, join, downscale, and convert microclimatic data formats, sort them into localities, request descriptive characteristics and compute microclimatic variables. Handy plotting functions are provided with smart defaults.

Version: 1.0.1
Depends: R (≥ 3.5)
Imports: stringr, lubridate, tibble, dplyr, purrr, tidyr, ggplot2, ggforce, viridis, runner, plotly, zoo, methods
Suggests: rmarkdown, knitr, kableExtra, rTubeDB, testthat (≥ 3.0.0)
Published: 2023-05-08
Author: Matěj Man [aut], Vojtěch Kalčík [aut, cre], Martin Macek [aut], Jan Wild [aut], Martin Kopecký [aut], Josef Brůna [aut], Lucia Hederová [aut], Institute of Botany of the Czech Academy of Sciences [cph]
Maintainer: Vojtěch Kalčík <Vojtech.Kalcik at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: myClim results


Reference manual: myClim.pdf
Vignettes: myClim: microclimatic data in R


Package source: myClim_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): myClim_1.0.1.tgz, r-oldrel (arm64): myClim_1.0.1.tgz, r-release (x86_64): myClim_1.0.1.tgz, r-oldrel (x86_64): myClim_1.0.1.tgz


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