Package: meteoland 2.2.7

Miquel De Cáceres

meteoland: Landscape Meteorology Tools

Functions to estimate weather variables at any position of a landscape [De Caceres et al. (2018) <doi:10.1016/j.envsoft.2018.08.003>].

Authors:Miquel De Cáceres [aut, cre], Víctor Granda [aut], Nicolas Martin [aut], Antoine Cabon [aut]

meteoland_2.2.7.tar.gz
meteoland_2.2.7.zip(r-4.7)meteoland_2.2.7.zip(r-4.6)meteoland_2.2.7.zip(r-4.5)
meteoland_2.2.7.tgz(r-4.6-x86_64)meteoland_2.2.7.tgz(r-4.6-arm64)meteoland_2.2.7.tgz(r-4.5-x86_64)meteoland_2.2.7.tgz(r-4.5-arm64)
meteoland_2.2.7.tar.gz(r-4.7-arm64)meteoland_2.2.7.tar.gz(r-4.7-x86_64)meteoland_2.2.7.tar.gz(r-4.6-arm64)meteoland_2.2.7.tar.gz(r-4.6-x86_64)
meteoland_2.2.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
meteoland/json (API)

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

Bug tracker:https://github.com/emf-creaf/meteoland/issues

Pkgdown/docs site:https://emf-creaf.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

8.05 score 9 stars 2 packages 105 scripts 716 downloads 1 mentions 52 exports 43 dependencies

Last updated from:7f0d67e33f. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK238
linux-devel-x86_64OK263
source / vignettesOK370
linux-release-arm64OK246
linux-release-x86_64OK253
macos-release-arm64OK156
macos-release-x86_64OK441
macos-oldrel-arm64OK161
macos-oldrel-x86_64OK396
windows-develOK218
windows-releaseOK233
windows-oldrelOK250
wasm-releaseOK191

Exports:add_topocomplete_meteocreate_meteo_interpolatordefaultInterpolationParamsget_interpolation_paramshumidity_dewtemperature2relativehumidity_relative2dewtemperaturehumidity_relative2specifichumidity_specific2relativeinterpolate_datainterpolation_cross_validationinterpolation_dewtemperatureinterpolation_precipitationinterpolation_temperatureinterpolation_windinterpolator_calibrationmeteospain2meteolandpenmanpenmanmonteithprecipitation_concentrationprecipitation_rainfall_erosivityradiation_dateStringToJulianDaysradiation_daylengthradiation_daylengthsecondsradiation_directDiffuseDayradiation_directDiffuseInstantradiation_julianDayradiation_netRadiationradiation_outgoingLongwaveRadiationradiation_potentialRadiationradiation_skyLongwaveRadiationradiation_solarConstantradiation_solarDeclinationradiation_solarElevationradiation_solarRadiationradiation_sunRiseSetread_interpolatorset_interpolation_paramssummarise_interpolated_datasummarise_interpolatorutils_airDensityutils_atmosphericPressureutils_averageDailyVPutils_averageDaylightTemperatureutils_latentHeatVaporisationutils_latentHeatVaporisationMolutils_psychrometricConstantutils_saturationVaporPressureCurveSlopeutils_saturationVPwith_meteoworldmet2meteolandwrite_interpolator

Dependencies:abindarealassertthatCFtimeclassclassIntclicpp11cubelyrDBIdplyre1071genericsglueKernSmoothlifecyclelubridatemagrittrMASSncdfgeomncmetapillarpkgconfigproxypurrrR6RcpprlangRNetCDFs2sfstarsstringistringrtibbletidyrtidyselecttimechangeunitsutf8vctrswithrwk

Tidy meteoland
A new way of working with meteoland | Example datasets | The new interpolation process | Topographical information | Meteorological information | Quick interpolation (if everything is ok) | Interpolator object | Writing and reading interpolator objects | Interpolator calibration | Interpolation validation | Interpolation utils | Temporal summary of interpolated data | Calculating rainfall erosivity | Piping all together | Interpolation on raster data | Temporal aggregation in raster | Piping raster interpolation | Appendix | Equivalence table

Last update: 2025-04-30
Started: 2023-02-09

Reshaping meteorological data for meteoland
Meteorological data format | Converting meteorological data to meteoland format | Converting from data frames | Meteorological data from other R packages | meteospain data | worldmet data | Meteorological data from raster sources

Last update: 2025-01-28
Started: 2023-02-09

Readme and manuals

Help Manual

Help pageTopics
Add topography data to meteo objectadd_topo
Complete missing meteo variablescomplete_meteo
Meteoland interpolator creationcreate_meteo_interpolator
Default interpolation parametersdefaultInterpolationParams
Retrieving interpolation parameters from interpolator objectget_interpolation_params
Humidity conversion toolshumidity_dewtemperature2relative humidity_relative2dewtemperature humidity_relative2specific humidity_specific2relative
Interpolation process for spatial datainterpolate_data
Calibration and validation of interpolation proceduresinterpolation_cross_validation interpolator_calibration
Low-level interpolation functionsinterpolation_dewtemperature interpolation_precipitation interpolation_temperature interpolation_wind
Example interpolator objectmeteoland_interpolator_example
Example data set for meteo data from weather stationsmeteoland_meteo_example
Example data set for meteo data from weather stations, without topographymeteoland_meteo_no_topo_example
Example data set for topography data from weather stations, without meteometeoland_topo_example
From meteospain to meteoland meteo objectsmeteospain2meteoland
Potential evapotranspirationpenman penmanmonteith
Example data set of points for interpolation of weather variablespoints_to_interpolate_example
Precipitation daily concentrationprecipitation_concentration
Precipitation rainfall erosivityprecipitation_rainfall_erosivity
Solar radiation utility functionsradiation_dateStringToJulianDays radiation_daylength radiation_daylengthseconds radiation_directDiffuseDay radiation_directDiffuseInstant radiation_julianDay radiation_netRadiation radiation_outgoingLongwaveRadiation radiation_potentialRadiation radiation_skyLongwaveRadiation radiation_solarConstant radiation_solarDeclination radiation_solarElevation radiation_solarRadiation radiation_sunRiseSet
Example raster data set for interpolation of weather variablesraster_to_interpolate_example
Read interpolator filesread_interpolator
Setting interpolation parameters in an interpolator objectset_interpolation_params
Summarise interpolated data by temporal dimensionsummarise_interpolated_data
Summarise interpolator objects by temporal dimensionsummarise_interpolator
Physical utility functionsutils_airDensity utils_atmosphericPressure utils_averageDailyVP utils_averageDaylightTemperature utils_latentHeatVaporisation utils_latentHeatVaporisationMol utils_psychrometricConstant utils_saturationVaporPressureCurveSlope utils_saturationVP
Ensure meteo object is ready to create an interpolator objectwith_meteo
From worldmet to meteoland meteo objectsworldmet2meteoland
Write the interpolator objectwrite_interpolator