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 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 |
| Materials: |
README NEWS |
| CRAN checks: |
myClim results |