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.">

meteo: RFSI & STRK Interpolation for Meteo and Environmental Variables (original) (raw)

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

BugReports:

https://github.com/AleksandarSekulic/Rmeteo/issues

License:

GPL-2 | GPL-3 | file [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: