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: 1.4.0 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: 2025-02-21 DOI: 10.32614/CRAN.package.myClim Author: MatÄj Man [aut], VojtÄch KalÄÃk [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: VojtÄch KalÄÃk <Vojtech.Kalcik at ibot.cas.cz> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: http://labgis.ibot.cas.cz/myclim/index.html, https://github.com/ibot-geoecology/myClim NeedsCompilation: no Additional_repositories: https://ibot-geoecology.github.io/drat Citation: myClim citation info Materials: README, NEWS CRAN checks: myClim results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=myClim to link to this page.
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