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.


myClim

CRAN Status CRAN RStudio mirror downloads

Install

Install from CRAN:

install.packages("myClim")

Or install the latest development version from GitHUB:

remotes::install_github("https://github.com/ibot-geoecology/myClim")

# optional package rTubeDB
remotes::install_github('environmentalinformatics-marburg/tubedb/rTubeDB')

Documentation & user manual

Source code of package

Related

  • myClimGui - package for visualisation data and editing states

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("myClim")

1.5.1 by Vojtěch Kalčík, 9 months ago


http://labgis.ibot.cas.cz/myclim/index.html, https://github.com/ibot-geoecology/myClim


Browse source code at https://github.com/cran/myClim


Authors: 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]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stringr, lubridate, tibble, dplyr, purrr, tidyr, ggplot2, ggforce, viridis, data.table, plotly, zoo, methods, vroom, progress

Suggests rmarkdown, knitr, kableExtra, rTubeDB, testthat


See at CRAN