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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0-4 |
rolling linux/jammy R-4.5 | meteo_2.0-4.tar.gz |
3.2 MiB |
2.0-4 |
rolling linux/noble R-4.5 | meteo_2.0-4.tar.gz |
3.2 MiB |
2.0-4 |
rolling source/ R- | meteo_2.0-4.tar.gz |
2.9 MiB |
2.0-4 |
latest linux/jammy R-4.5 | meteo_2.0-4.tar.gz |
3.2 MiB |
2.0-4 |
latest linux/noble R-4.5 | meteo_2.0-4.tar.gz |
3.2 MiB |
2.0-4 |
latest source/ R- | meteo_2.0-4.tar.gz |
2.9 MiB |
2.0-4 |
2026-04-26 source/ R- | meteo_2.0-4.tar.gz |
2.9 MiB |
2.0-4 |
2026-04-23 source/ R- | meteo_2.0-4.tar.gz |
2.9 MiB |
2.0-4 |
2026-04-09 windows/windows R-4.5 | meteo_2.0-4.zip |
3.2 MiB |
2.0-3 |
2025-04-20 source/ R- | meteo_2.0-3.tar.gz |
2.9 MiB |