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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.
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Package details |
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| Author | Milan Kilibarda [aut] (<https://orcid.org/0000-0002-2930-3596>), Aleksandar Sekulić [aut, cre] (<https://orcid.org/0000-0002-5515-2779>), Tomislav Hengl [ctb], Edzer Pebesma [ctb], Benedikt Graeler [ctb] |
| Maintainer | Aleksandar Sekulić <asekulic@grf.bg.ac.rs> |
| License | GPL (>= 2.0) | file LICENCE |
| Version | 2.0-3 |
| URL | https://www.r-pkg.org/pkg/meteo https://r-forge.r-project.org/projects/meteo/ https://github.com/AleksandarSekulic/Rmeteo |
| Package repository | View on CRAN |
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