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 |
| DOI: | 10.32614/CRAN.package.meteo |
| 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 | fileLICENCE [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,Spatial |
| CRAN checks: | meteo results |
Documentation:
| Reference manual: | meteo.html ,meteo.pdf |
Downloads:
| 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 |
Linking:
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