Description
Microclimatic Data Processing.
Description
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.
README.md
Install
Install from CRAN:
install.packages("myClim")
Or install the latest development version with dependencies:
requiered_packages <- c("stringr", "lubridate", "tibble", "dplyr", "purrr",
"ggplot2", "ggforce", "viridis", "data.table", "rmarkdown",
"knitr", "kableExtra", "tidyr", "plotly", "zoo", "vroom", "progress")
missing_packages <- requiered_packages[!(requiered_packages %in% installed.packages()[,"Package"])]
if(length(missing_packages)) install.packages(missing_packages)
# optional package rTubeDB
remotes::install_github('environmentalinformatics-marburg/tubedb/rTubeDB')
# installation of myClim package
install.packages("http://labgis.ibot.cas.cz/myclim/myClim_latest.tar.gz", repos=NULL, build_vignettes=TRUE)
Documentation & user manual
- manual - functions documentation
- tutorial - Introduction to myClim
- tutorial - Reading user-defined loggers