RFSI & STRK Interpolation for Meteo and Environmental Variables

Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020) ) and spatio-temporal geostatistical (spatio-temporal regression Kriging (STRK)) interpolation for meteorological (Kilibarda et al. (2014) , Sekulić et al. (2020) ) and other environmental variables. Contains global spatio-temporal models calculated using publicly available data.


Reference manual

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install.packages("meteo")

2.0-5 by Aleksandar Sekulić, 5 months ago


https://www.r-pkg.org/pkg/meteo, https://r-forge.r-project.org/projects/meteo/, https://github.com/AleksandarSekulic/Rmeteo


Report a bug at https://github.com/AleksandarSekulic/Rmeteo/issues


Browse source code at https://github.com/cran/meteo


Authors: Milan Kilibarda [aut] , Aleksandar Sekulić [aut, cre] (ORCID: , Tomislav Hengl [ctb] , Edzer Pebesma [ctb] , Benedikt Graeler [ctb]


Documentation:   PDF Manual  


GPL (>= 2.0) | file LICENCE license


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

Suggests xts


See at CRAN