R: RFSI & STRK Interpolation for Meteo and Environmental Variables

# RFSI & STRK Interpolation for Meteo and Environmental Variables

## Documentation for package ‘meteo’ version 2.0-5

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

acc.metric.fun | Accuracy metrics calculation
cv.rfsi | Nested k-fold cross-validation for Random Forest Spatial Interpolation (RFSI)
cv.strk | k-fold cross-validation for spatio-temporal regression kriging
data.prepare | Prepare data
dem_twi_srb | Digital Elevation Model (DEM) and Topographic Wetness Index (TWI) for Serbia
dprec | Daily precipitation amount in mm for July 2011
dslp | Mean sea level pressure in hPa for July 2011
dsndp | Daily snow depth in cm for July 2011
dtempc | Mean daily temperature in degrees Celsius for July 2011
dtempc_ogimet | Mean daily temperature in degrees Celsius for the year 2019 for Serbia
dtemp_maxc | Maximum daily temperature in degrees Celsius for July 2011
dtemp_minc | Minimum daily temperature in degrees Celsius for July 2011
dwdsp | Daily mean wind speed in m/s for July 2011
get_coordinates | Get lon/lat coordinates for a specific location name.
get_meteo | Get daily, monthly, or annual; aggregated or long-term means meteorological data for specific location(s) and date(s).
meteo2STFDF | Create an object of STFDF-class class from two data frames (observation and stations)
near.obs | Finds n nearest observations from given locations.
near.obs.soil | Finds n nearest observations from given locations for soil mapping.
nlmodis20110704 | MODIS LST 8 day images image for the Netherlands ('2011-07-04')
nlmodis20110712 | MODIS LST 8 day images image for the Netherlands ('2011-07-12')
NLpol | The Netherlands border polygon from WCAB
pred.rfsi | Random Forest Spatial Interpolation (RFSI) prediction
pred.strk | Spatio-temporal regression kriging prediction
regdata | Dynamic and static covariates for spatio-temporal regression kriging
rfillspgaps | Close gaps of a grid or raster Layer data
rfilltimegaps | Disaggregation in the time dimension through the use of splines for each pixel
rfsi | Random Forest Spatial Interpolation (RFSI) model
rm.dupl | Find point pairs with equal spatial coordinates from STFDF-class object.
stations | Data frame containing stations' information
stations_ogimet | Data frame containing stations' information from the OGIMET service for Serbian territory
temp_geom | Calculate geometrical temperature trend
tgeom2STFDF | Calculate geometrical temperature trend
tiling | Tiling raster or Spatial-class Grid or Pixels object
tregcoef | Multiple linear regression coefficients for global and local daily air temperatures
tune.rfsi | Tuning of Random Forest Spatial Interpolation (RFSI) model
tvgms | Spatio-temporal variogram models for global and local daily air temperatures