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meteo  

RFSI & STRK Interpolation for Meteo and Environmental Variables
View on CRAN: Click here


Download and install meteo package within the R console
Install from CRAN:
install.packages("meteo")

Install from Github:
library("remotes")
install_github("cran/meteo")

Install by package version:
library("remotes")
install_version("meteo", "2.0-3")



Attach the package and use:
library("meteo")
Maintained by
Aleksandar Sekulić
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-23
Latest Update: 2024-04-18
Description:
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.
How to cite:
Aleksandar Sekulić (2015). meteo: RFSI & STRK Interpolation for Meteo and Environmental Variables. R package version 2.0-3, https://cran.r-project.org/web/packages/meteo. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.1-4 (2015-06-23 15:07), 0.1-5 (2015-09-24 11:58), 2.0-2 (2023-10-14 14:50), 2.0-3 (2024-04-18 20:12), 2.0-4 (2026-03-24 19:40)
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Complete documentation for meteo
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