meteo: RFSI & STRK Interpolation for Meteo and Environmental Variables

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.

Version:	2.0-3
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
Published:	2024-04-18
Author:	Milan Kilibarda [aut], Aleksandar Sekulić [aut, cre], Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb]
Maintainer:	Aleksandar Sekulić <asekulic at grf.bg.ac.rs>
BugReports:	https://github.com/AleksandarSekulic/Rmeteo/issues
License:	GPL-2 | GPL-3 | file LICENCE [expanded from: GPL (≥ 2.0) | file LICENCE]
URL:	https://www.r-pkg.org/pkg/meteo, https://r-forge.r-project.org/projects/meteo/, https://github.com/AleksandarSekulic/Rmeteo
NeedsCompilation:	no
Citation:	meteo citation info
In views:	Hydrology
CRAN checks:	meteo results

Documentation:

Reference manual:

meteo.pdf

Downloads:

Package source:	meteo_2.0-3.tar.gz
Windows binaries:	r-prerel: meteo_2.0-3.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-prerel (arm64): meteo_2.0-3.tgz, r-release (arm64): meteo_2.0-3.tgz, r-oldrel (arm64): meteo_2.0-3.tgz, r-prerel (x86_64): meteo_2.0-3.tgz, r-release (x86_64): meteo_2.0-3.tgz
Old sources:	meteo archive

Linking:

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