doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.">

evapoRe: Evapotranspiration R Recipes (original) (raw)

An R-based application for exploratory data analysis of global EvapoTranspiration (ET) datasets. 'evapoRe' enables users to download, validate, visualize, and analyze multi-source ET data across various spatio-temporal scales. Also, the package offers calculation methods for estimating potential ET (PET), including temperature-based approaches described in : Oudin et al., (2005) <doi:10.1016/j.jhydrol.2004.08.026>. 'evapoRe' supports hydrological modeling, climate studies, agricultural research, and other data-driven fields by facilitating access to ET data and offering powerful analysis capabilities. Users can seamlessly integrate the package into their research applications and explore diverse ET data at different resolutions.

Version: 1.0.0
Depends: R (≥ 4.0.0), pRecipe
Imports: methods, parallel, utils, data.table, doParallel, foreach, lubridate, raster
Suggests: rmarkdown, ggpubr, knitr, spelling, kableExtra, tibble, testthat (≥ 3.0.0)
Published: 2023-11-29
DOI: 10.32614/CRAN.package.evapoRe
Author: Akbar Rahmati ZivehORCID iD [aut, cre], Mijael Rodrigo Vargas GodoyORCID iD [aut], Vishal Thakur ORCID iD [ctb], Yannis Markonis ORCID iD [aut, ths]
Maintainer: Akbar Rahmati Ziveh <rahmati_ziveh at fzp.czu.cz>
License: GPL-3
URL: https://github.com/AkbarR1184/evapoRe
NeedsCompilation: no
SystemRequirements: PROJ (>= 6, https://proj.org/download.html), GDAL (>= 3, https://gdal.org/download.html), NetCDF(>= 4, https://www.unidata.ucar.edu/software/netcdf/).
Language: en-US
Materials: NEWS
CRAN checks: evapoRe results

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