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meteospain aims to offer access to different Spanish meteorological stations data in an uniform way.
meteospain is in CRAN, and can be installed as any other package:
Also, meteospain is in active development. You can install the development version from GitHub with:
The following meteorological stations services are available:
Access to the services is done with the get_meteo_from function, providing the name of the service and the options. Each service has a dedicated *service*_options() function to guide through the specifics of each service:
library(meteospain)
mg_options <- meteogalicia_options(resolution = 'current_day')
get_meteo_from('meteogalicia', mg_options)
#> ℹ A información divulgada a través deste servidor ofrécese gratuitamente aos
#> cidadáns para que poida ser
#> utilizada libremente por eles, co único compromiso de mencionar expresamente a
#> MeteoGalicia e á
#> Consellería de Medio Ambiente, Territorio e Vivenda da Xunta de Galicia como
#> fonte da mesma cada vez
#> que as utilice para os usos distintos do particular e privado.
#> https://www.meteogalicia.gal/web/informacion/notaIndex.action
#> Simple feature collection with 3720 features and 14 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -9.178318 ymin: 41.8982 xmax: -6.765224 ymax: 43.734
#> Geodetic CRS: WGS 84
#> # A tibble: 3,720 × 15
#> timestamp service station_id station_name station_province altitude
#> <dttm> <chr> <chr> <chr> <chr> [m]
#> 1 2023-10-22 14:00:00 meteog… 10045 Mabegondo A Coruña 94
#> 2 2023-10-22 14:00:00 meteog… 10046 Marco da Cu… A Coruña 651
#> 3 2023-10-22 14:00:00 meteog… 10047 Pedro Murias Lugo 51
#> 4 2023-10-22 14:00:00 meteog… 10048 O Invernade… Ourense 1026
#> 5 2023-10-22 14:00:00 meteog… 10049 Corrubedo A Coruña 30
#> 6 2023-10-22 14:00:00 meteog… 10050 CIS Ferrol A Coruña 37
#> 7 2023-10-22 14:00:00 meteog… 10052 Muralla A Coruña 661
#> 8 2023-10-22 14:00:00 meteog… 10053 Campus Lugo Lugo 400
#> 9 2023-10-22 14:00:00 meteog… 10055 Guitiriz-Mi… Lugo 684
#> 10 2023-10-22 14:00:00 meteog… 10056 Marroxo Lugo 645
#> # ℹ 3,710 more rows
#> # ℹ 9 more variables: temperature [°C], min_temperature [°C],
#> # max_temperature [°C], relative_humidity [%], precipitation [L/m^2],
#> # wind_direction [°], wind_speed [m/s], insolation [h], geometry <POINT [°]>Stations info can be accessed with get_stations_info_from function:
get_stations_info_from('meteogalicia', mg_options)
#> Simple feature collection with 156 features and 5 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -9.178318 ymin: 41.8982 xmax: -6.765224 ymax: 43.7383
#> Geodetic CRS: WGS 84
#> # A tibble: 156 × 6
#> service station_id station_name station_province altitude
#> * <chr> <chr> <chr> <chr> [m]
#> 1 meteogalicia 10157 Coruña-Torre de Hércules A Coruña 21
#> 2 meteogalicia 14000 Coruña-Dique A Coruña 5
#> 3 meteogalicia 10045 Mabegondo A Coruña 94
#> 4 meteogalicia 14003 Punta Langosteira A Coruña 5
#> 5 meteogalicia 10144 Arzúa A Coruña 362
#> 6 meteogalicia 19005 Guísamo A Coruña 175
#> 7 meteogalicia 19012 Cespón A Coruña 59
#> 8 meteogalicia 10095 Sergude A Coruña 231
#> 9 meteogalicia 10800 Camariñas A Coruña 5
#> 10 meteogalicia 19001 Rus A Coruña 134
#> # ℹ 146 more rows
#> # ℹ 1 more variable: geometry <POINT [°]>Returned objects are spatial objects (using the sf R package), so results can be plotted directly:
library(sf)
#> Linking to GEOS 3.12.0, GDAL 3.7.2, PROJ 9.2.1; sf_use_s2() is TRUE
mg_options <- meteogalicia_options(resolution = 'daily', start_date = as.Date('2021-04-25'))
plot(get_meteo_from('meteogalicia', mg_options))
#> ℹ A información divulgada a través deste servidor ofrécese gratuitamente aos
#> cidadáns para que poida ser
#> utilizada libremente por eles, co único compromiso de mencionar expresamente a
#> MeteoGalicia e á
#> Consellería de Medio Ambiente, Territorio e Vivenda da Xunta de Galicia como
#> fonte da mesma cada vez
#> que as utilice para os usos distintos do particular e privado.
#> https://www.meteogalicia.gal/web/informacion/notaIndex.action
#> Warning: plotting the first 9 out of 16 attributes; use max.plot = 16 to plot
#> all
Some services, like AEMET or Meteocat, require an API key to access the data. meteospain doesn’t provide any key for those services, see ?services_options for information about this.
Once a key has been obtained, we can get the meteo:
get_meteo_from('aemet', aemet_options(api_key = keyring::key_get("aemet")))
#> ℹ © AEMET. Autorizado el uso de la información y su reproducción citando a
#> AEMET como autora de la misma.
#> https://www.aemet.es/es/nota_legal
#> Simple feature collection with 18048 features and 14 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -18.115 ymin: 27.66667 xmax: 4.323889 ymax: 43.78621
#> Geodetic CRS: WGS 84
#> # A tibble: 18,048 × 15
#> timestamp service station_id station_name station_province altitude
#> <dttm> <chr> <chr> <chr> <chr> [m]
#> 1 2023-10-22 14:00:00 aemet 0016A REUS/AEROPU… <NA> 71
#> 2 2023-10-22 14:00:00 aemet 0034X VALLS <NA> 233
#> 3 2023-10-22 14:00:00 aemet 0042Y TARRAGONA … <NA> 55
#> 4 2023-10-22 14:00:00 aemet 0061X PONTONS <NA> 632
#> 5 2023-10-22 14:00:00 aemet 0066X VILAFRANCA … <NA> 177
#> 6 2023-10-22 14:00:00 aemet 0073X SITGES-VALL… <NA> 58
#> 7 2023-10-22 14:00:00 aemet 0076 BARCELONA/A… <NA> 4
#> 8 2023-10-22 14:00:00 aemet 0106X BALSARENY <NA> 361
#> 9 2023-10-22 14:00:00 aemet 0114X PRATS DE LL… <NA> 700
#> 10 2023-10-22 14:00:00 aemet 0120X MOIÀ <NA> 742
#> # ℹ 18,038 more rows
#> # ℹ 9 more variables: temperature [°C], min_temperature [°C],
#> # max_temperature [°C], relative_humidity [%], precipitation [L/m^2],
#> # wind_direction [°], wind_speed [m/s], insolation [h], geometry <POINT [°]>These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.