RFSI & STRK Interpolation for Meteo and Environmental Variables R package meteo version 2.0-5 CRAN Task View: Hydrology (https://CRAN.R-project.org/view=Hydrology) CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) <doi:10.3390/rs12101687>) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020) <doi:10.1007/s00704-019-03077-3>) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data. Software Depends: R (>= 4.0.0) Imports: methods, utils, stats, DescTools, caret, data.table, dplyr, sp, spacetime, gstat, foreach, parallel, snowfall, doParallel, plyr, units, nabor, CAST, ranger, sf, sftime, raster, terra, jsonlite Suggests: xts Aleksandar Sekulić <asekulic@grf.bg.ac.rs> Comprehensive R Archive Network (CRAN) Milan Kilibarda [aut] (ORCID: <https://orcid.org/0000-0002-2930-3596>), Aleksandar Sekulić [aut, cre] (ORCID: <https://orcid.org/0000-0002-5515-2779>), Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb] GPL (>= 2.0) file LICENCE (https://CRAN.R-project.org/package=meteo/LICENCE) 2026-05-22 application/tgz https://CRAN.R-project.org/package=meteo doi:10.32614/CRAN.package.meteo