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meteo (version 2.0-4)

RFSI & STRK Interpolation for Meteo and Environmental Variables

Description

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.

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Install

install.packages('meteo')

Monthly Downloads

352

Version

2.0-4

License

GPL (>= 2.0) | file LICENCE

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Maintainer

Aleksandar Sekulić

Last Published

March 24th, 2026

Functions in meteo (2.0-4)

rfilltimegaps

Disaggregation in the time dimension through the use of splines for each pixel
rm.dupl

Find point pairs with equal spatial coordinates from STFDF-class object.
stations_ogimet

Data frame containing stations' information from the OGIMET service for Serbian territory
rfillspgaps

Close gaps of a grid or raster Layer data
pred.strk

Spatio-temporal regression kriging prediction
rfsi

Random Forest Spatial Interpolation (RFSI) model
pred.rfsi

Random Forest Spatial Interpolation (RFSI) prediction
nlmodis20110712

MODIS LST 8 day images image for the Netherlands ('2011-07-12')
stations

Data frame containing stations' information
tiling

Tiling raster or Spatial-class Grid or Pixels object
temp_geom

Calculate geometrical temperature trend
tgeom2STFDF

Calculate geometrical temperature trend
tune.rfsi

Tuning of Random Forest Spatial Interpolation (RFSI) model
regdata

Dynamic and static covariates for spatio-temporal regression kriging
tvgms

Spatio-temporal variogram models for global and local daily air temperatures
tregcoef

Multiple linear regression coefficients for global and local daily air temperatures
cv.strk

k-fold cross-validation for spatio-temporal regression kriging
dprec

Daily precipitation amount in mm for July 2011
data.prepare

Prepare data
acc.metric.fun

Accuracy metrics calculation
cv.rfsi

Nested k-fold cross-validation for Random Forest Spatial Interpolation (RFSI)
meteo2STFDF

Create an object of STFDF-class class from two data frames (observation and stations)
near.obs.soil

Finds n nearest observations from given locations for soil mapping.
get_coordinates

Get lon/lat coordinates for a specific location name.
near.obs

Finds n nearest observations from given locations.
dtemp_maxc

Maximum daily temperature in degrees Celsius for July 2011
dtempc

Mean daily temperature in degrees Celsius for July 2011
nlmodis20110704

MODIS LST 8 day images image for the Netherlands ('2011-07-04')
dsndp

Daily snow depth in cm for July 2011
NLpol

The Netherlands border polygon from WCAB
dtemp_minc

Minimum daily temperature in degrees Celsius for July 2011
dslp

Mean sea level pressure in hPa for July 2011
dem_twi_srb

Digital Elevation Model (DEM) and Topographic Wetness Index (TWI) for Serbia
dwdsp

Daily mean wind speed in m/s for July 2011
dtempc_ogimet

Mean daily temperature in degrees Celsius for the year 2019 for Serbia
get_meteo

Get daily, monthly, or annual; aggregated or long-term means meteorological data for specific location(s) and date(s).