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, combined type, and radiation-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: 1.0.1 Depends: R (≥ 4.0.0) Imports: methods, parallel, utils, data.table, doParallel, foreach, lubridate, raster, twc Suggests: rmarkdown, ggpubr, knitr, spelling, kableExtra, tibble, testthat (≥ 3.0.0) Published: 2025-04-10 DOI: 10.32614/CRAN.package.evapoRe Author: Akbar Rahmati Ziveh [aut, cre], Mijael Rodrigo Vargas Godoy [aut], Vishal Thakur [ctb], Yannis Markonis [aut, ths] Maintainer: Akbar Rahmati Ziveh <rahmati_ziveh at fzp.czu.cz> BugReports: https://github.com/AkbarR1184/evapoRe/issues 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=evapoRe to link to this page.
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