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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 |
DOI: | 10.32614/CRAN.package.meteo |
Author: | Milan Kilibarda |
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 |
Reference manual: | meteo.pdf |
Package source: | meteo_2.0-3.tar.gz |
Windows binaries: | r-devel: meteo_2.0-3.zip, r-release: meteo_2.0-3.zip, r-oldrel: meteo_2.0-3.zip |
macOS binaries: | r-release (arm64): meteo_2.0-3.tgz, r-oldrel (arm64): meteo_2.0-3.tgz, r-release (x86_64): meteo_2.0-3.tgz, r-oldrel (x86_64): meteo_2.0-3.tgz |
Old sources: | meteo archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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