Get last observation values for a station.
Usage
aemet_last_obs(
station = "all",
verbose = FALSE,
return_sf = FALSE,
extract_metadata = FALSE,
progress = TRUE
)Arguments
- station
Character string with station identifier code(s) (see
aemet_stations()) or "all" for all the stations.- verbose
Logical
TRUE/FALSE. Provides information about the flow of information between the client and server.- return_sf
Logical
TRUEorFALSE. Should the function return ansfspatial object? IfFALSE(the default value) it returns atibble. Note that you need to have the sf package installed.- extract_metadata
Logical
TRUE/FALSE. OnTRUEthe output is atibblewith the description of the fields. See alsoget_metadata_aemet().- progress
Logical, display a
cli::cli_progress_bar()object. Ifverbose = TRUEwon't be displayed.
API Key
You need to set your API Key globally using aemet_api_key().
Examples
library(tibble)
obs <- aemet_last_obs(c("9434", "3195"))
glimpse(obs)
#> Rows: 24
#> Columns: 26
#> $ idema <chr> "9434", "9434", "9434", "9434", "9434", "9434", "9434", "943…
#> $ lon <dbl> -1.004167, -1.004167, -1.004167, -1.004167, -1.004167, -1.00…
#> $ fint <dttm> 2025-12-17 01:00:00, 2025-12-17 02:00:00, 2025-12-17 03:00:…
#> $ prec <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
#> $ alt <dbl> 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, 249, …
#> $ vmax <dbl> 5.9, 5.1, 4.9, 3.5, 4.3, 3.7, 4.2, 4.2, 4.3, 5.7, 4.7, 3.9, …
#> $ vv <dbl> 4.0, 3.2, 2.9, 2.7, 2.9, 2.5, 2.8, 2.6, 2.7, 3.3, 2.8, 2.3, …
#> $ dv <dbl> 296, 290, 297, 286, 303, 301, 278, 283, 295, 314, 297, 309, …
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 298, 305, 293, 298, 295, 305, 288, 293, 318, 315, 303, 283, …
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 987.5, 988.1, 988.6, 989.0, 989.6, 990.2, 991.1, 992.1, 992.…
#> $ hr <dbl> 94, 94, 92, 94, 92, 94, 94, 95, 92, 86, 84, 76, NA, NA, NA, …
#> $ stdvv <dbl> 0.4, 0.4, 0.4, 0.2, 0.3, 0.3, 0.3, 0.2, 0.4, 0.7, 0.4, 0.5, …
#> $ ts <dbl> 10.0, 9.6, 9.9, 9.7, 9.8, 8.9, 9.0, 9.1, 10.2, 11.5, NA, NA,…
#> $ pres_nmar <dbl> 1017.8, 1018.5, 1019.0, 1019.4, 1020.0, 1020.7, 1021.7, 1022…
#> $ tamin <dbl> 10.2, 10.0, 10.0, 9.9, 9.8, 9.5, 9.3, 9.3, 9.4, 10.1, 11.2, …
#> $ ta <dbl> 10.3, 10.0, 10.2, 9.9, 10.1, 9.5, 9.3, 9.4, 10.1, 11.2, 11.8…
#> $ tamax <dbl> 10.4, 10.3, 10.2, 10.3, 10.1, 10.1, 9.5, 9.4, 10.1, 11.2, 11…
#> $ tpr <dbl> 9.4, 9.0, 8.9, 8.9, 8.9, 8.5, 8.4, 8.7, 8.9, 8.9, NA, NA, NA…
#> $ stddv <dbl> 5, 6, 7, 5, 7, 6, 7, 5, 8, 12, 13, 13, NA, NA, NA, NA, NA, N…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4.8, 0.0, 17.0,…
#> $ tss5cm <dbl> 10.2, 10.2, 10.1, 10.0, 10.0, 9.9, 9.6, 9.5, 9.6, 10.0, 10.4…
#> $ pacutp <dbl> 0.13, 0.02, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, …
#> $ tss20cm <dbl> 10.7, 10.7, 10.7, 10.6, 10.6, 10.6, 10.6, 10.5, 10.5, 10.4, …
#> $ rviento <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 175, 129, 13…
