Package: meteo 2.0-3

meteo: RFSI & STRK Interpolation for Meteo and Environmental Variables

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.

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

meteo_2.0-3.tar.gz
meteo_2.0-3.zip(r-4.5)meteo_2.0-3.zip(r-4.4)meteo_2.0-3.zip(r-4.3)
meteo_2.0-3.tgz(r-4.4-any)meteo_2.0-3.tgz(r-4.3-any)
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meteo.pdf |meteo.html✨
meteo/json (API)

# Install 'meteo' in R:
install.packages('meteo', repos = c('https://aleksandarsekulic.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/aleksandarsekulic/rmeteo/issues

Datasets:
  • NLpol - The Netherlands border polygon from WCAB
  • 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
  • dtemp_maxc - Maximum daily temperature in degrees Celsius for July 2011
  • dtemp_minc - Minimum daily temperature in degrees Celsius for July 2011
  • dtempc - Mean daily temperature in degrees Celsius for July 2011
  • dtempc - Mean daily temperature in degrees Celsius for July 2011
  • dwdsp - Daily mean wind speed in m/s for July 2011
  • nlmodis20110704 - MODIS LST 8 day images image for the Netherlands
  • nlmodis20110712 - MODIS LST 8 day images image for the Netherlands
  • regdata - Dynamic and static covariates for spatio-temporal regression kriging
  • stations - Data frame containing stations' information
  • stations - Data frame containing stations' information
  • tregcoef - Multiple linear regression coefficients for global and local daily air temperatures
  • tvgms - Spatio-temporal variogram models for global and local daily air temperatures

On CRAN:

5.18 score 16 stars 63 scripts 302 downloads 19 exports 126 dependencies

Last updated 2 months agofrom:a2f47787dd. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winWARNINGNov 01 2024
R-4.5-linuxWARNINGNov 01 2024
R-4.4-winWARNINGNov 01 2024
R-4.4-macWARNINGNov 01 2024
R-4.3-winWARNINGNov 01 2024
R-4.3-macWARNINGNov 01 2024

Exports:acc.metric.funcv.rfsicv.strkdata.prepareget_coordinatesget_meteometeo2STFDFnear.obsnear.obs.soilpred.rfsipred.strkrfillspgapsrfilltimegapsrfsirm.dupltemp_geomtgeom2STFDFtilingtune.rfsi

Dependencies:abindaskpassBHbootcaretCASTcellrangerclassclassIntcliclockcodetoolscolorspacecpp11crayoncurldata.tableDBIDescToolsdiagramdigestdoParalleldplyre1071ExactexpmfansifarverFNNforcatsforeachfuturefuture.applygenericsggplot2gldglobalsgluegowergstatgtablehardhathmshttrintervalsipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlmomlubridatemagrittrMASSMatrixmgcvmimeModelMetricsmunsellmvtnormnabornlmennetnumDerivopensslparallellypillarpkgconfigplyrprettyunitspROCprodlimprogressprogressrproxypurrrR6rangerrasterRColorBrewerRcppRcppEigenreadxlrecipesrematchreshape2rlangrootSolverpartrstudioapis2scalessfsftimeshapesnowsnowfallspspacetimeSQUAREMstarsstringistringrsurvivalsysterratibbletidyrtidyselecttimechangetimeDatetwosamplestzdbunitsutf8vctrsviridisLitewithrwkxtszoo

Readme and manuals

Help Manual

Help pageTopics
Accuracy metrics calculationacc.metric.fun
Nested k-fold cross-validation for Random Forest Spatial Interpolation (RFSI)cv.rfsi
k-fold cross-validation for spatio-temporal regression krigingcv.strk
Prepare datadata.prepare
Digital Elevation Model (DEM) and Topographic Wetness Index (TWI) for Serbiadem_twi_srb
Daily precipitation amount in mm for July 2011dprec
Mean sea level pressure in hPa for July 2011dslp
Daily snow depth in cm for July 2011dsndp
Maximum daily temperature in degrees Celsius for July 2011dtemp_maxc
Minimum daily temperature in degrees Celsius for July 2011dtemp_minc
Mean daily temperature in degrees Celsius for July 2011dtempc
Mean daily temperature in degrees Celsius for the year 2019 for Serbiadtempc_ogimet
Daily mean wind speed in m/s for July 2011dwdsp
Get lon/lat coordinates for a specific location name.get_coordinates
Get daily, monthly, or annual; aggregated or long-term means meteorological data for specific location(s) and date(s).get_meteo
Create an object of STFDF-class class from two data frames (observation and stations)meteo2STFDF
Finds n nearest observations from given locations.near.obs
Finds n nearest observations from given locations for soil mapping.near.obs.soil
MODIS LST 8 day images image for the Netherlands ('2011-07-04')nlmodis20110704
MODIS LST 8 day images image for the Netherlands ('2011-07-12')nlmodis20110712
The Netherlands border polygon from WCABNLpol
Random Forest Spatial Interpolation (RFSI) predictionpred.rfsi
Spatio-temporal regression kriging predictionpred.strk
Dynamic and static covariates for spatio-temporal regression krigingregdata
Close gaps of a grid or raster Layer datarfillspgaps
Disaggregation in the time dimension through the use of splines for each pixelrfilltimegaps
Random Forest Spatial Interpolation (RFSI) modelrfsi
Find point pairs with equal spatial coordinates from STFDF-class object.rm.dupl
Data frame containing stations' informationstations
Data frame containing stations' information from the OGIMET service for Serbian territorystations_ogimet
Calculate geometrical temperature trendtemp_geom
Calculate geometrical temperature trendtgeom2STFDF
Tiling raster or Spatial-class Grid or Pixels objecttiling
Multiple linear regression coefficients for global and local daily air temperaturestregcoef
Tuning of Random Forest Spatial Interpolation (RFSI) modeltune.rfsi
Spatio-temporal variogram models for global and local daily air temperaturestvgms