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: 1.1.0
Depends: R (≥ 3.5)
Imports: stringr, lubridate, tibble, dplyr, purrr, tidyr, ggplot2, ggforce, viridis, data.table, plotly, zoo, methods, vroom, progress
Suggests: rmarkdown, knitr, kableExtra, rTubeDB, testthat (≥ 3.0.0)
Published: 2024-02-16
DOI: 10.32614/CRAN.package.myClim
Author: Matěj Man [aut], Vojtěch Kalčík [aut, cre], Martin Macek [aut], Josef Brůna [aut], Lucia Hederová [aut], Jan Wild [aut], Martin Kopecký [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
Citation: myClim citation info
Materials: README NEWS
CRAN checks: myClim results


Reference manual: myClim.pdf
Vignettes: myClim: reading user-defined loggers
myClim: microclimatic data in R


Package source: myClim_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): myClim_1.1.0.tgz, r-oldrel (arm64): myClim_1.1.0.tgz, r-release (x86_64): myClim_1.1.0.tgz, r-oldrel (x86_64): myClim_1.1.0.tgz
Old sources: myClim archive


Please use the canonical form to link to this page.