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
TRUE
orFALSE
. Should the function return ansf
spatial object? IfFALSE
(the default value) it returns atibble
. Note that you need to have the sf package installed.- extract_metadata
Logical
TRUE/FALSE
. OnTRUE
the output is atibble
with the description of the fields. See alsoget_metadata_aemet()
.- progress
Logical, display a
cli::cli_progress_bar()
object. Ifverbose = TRUE
won't be displayed.
API Key
You need to set your API Key globally using aemet_api_key()
.
See also
Other aemet_api_data:
aemet_beaches()
,
aemet_daily_clim()
,
aemet_extremes_clim()
,
aemet_forecast_beaches()
,
aemet_forecast_daily()
,
aemet_monthly
,
aemet_normal
,
aemet_stations()
Examples
library(tibble)
obs <- aemet_last_obs(c("9434", "3195"))
glimpse(obs)
#> Rows: 26
#> 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> 2024-07-17 00:00:00, 2024-07-17 01:00:00, 2024-07-17 02:00:…
#> $ 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> 12.1, 11.8, 10.5, 10.4, 8.8, 6.1, 5.5, 6.6, 5.9, 4.9, 4.0, 4…
#> $ vv <dbl> 9.2, 7.9, 8.0, 7.2, 5.3, 4.6, 4.2, 4.7, 2.9, 1.5, 2.1, 1.6, …
#> $ dv <dbl> 296, 304, 297, 306, 290, 291, 303, 310, 315, 302, 127, 67, 1…
#> $ lat <dbl> 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, 41.66056, …
#> $ dmax <dbl> 310, 305, 318, 290, 308, 298, 303, 315, 308, 305, 113, 110, …
#> $ ubi <chr> "ZARAGOZA AEROPUERTO", "ZARAGOZA AEROPUERTO", "ZARAGOZA A…
#> $ pres <dbl> 988.9, 988.8, 988.7, 989.0, 989.3, 989.7, 990.2, 990.4, 990.…
#> $ hr <dbl> 60, 62, 62, 63, 65, 66, 65, 62, 58, 52, 52, 48, 43, 25, 25, …
#> $ stdvv <dbl> 1.0, 0.9, 0.9, 0.9, 0.6, 0.4, 0.5, 0.5, 0.6, 0.6, 0.9, 0.7, …
#> $ ts <dbl> 21.5, 20.6, 20.2, 19.7, 19.3, 19.1, 20.9, 24.4, 26.7, 29.8, …
#> $ pres_nmar <dbl> 1018.1, 1018.1, 1018.0, 1018.4, 1018.8, 1019.2, 1019.7, 1019…
#> $ tamin <dbl> 20.8, 20.1, 19.8, 19.4, 18.8, 18.6, 18.5, 18.9, 19.7, 20.9, …
#> $ ta <dbl> 20.8, 20.2, 19.8, 19.4, 18.8, 18.6, 18.9, 19.7, 21.0, 22.7, …
#> $ tamax <dbl> 21.9, 20.8, 20.2, 19.8, 19.4, 18.8, 19.0, 19.8, 21.0, 22.7, …
#> $ tpr <dbl> 12.7, 12.6, 12.3, 12.2, 12.1, 12.1, 12.2, 12.2, 12.4, 12.3, …
#> $ stddv <dbl> 6, 7, 6, 6, 5, 6, 9, 12, 18, 36, 37, 48, 23, NA, NA, NA, NA,…
#> $ inso <dbl> 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 24.1, 59.3, 60.0, 60.0, 60.0, …
#> $ tss5cm <dbl> 32.2, 31.4, 30.6, 30.0, 29.4, 28.8, 28.4, 28.5, 29.3, 30.8, …
#> $ pacutp <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, NA, NA, NA, NA, N…
#> $ tss20cm <dbl> 34.3, 33.9, 33.5, 33.1, 32.7, 32.3, 31.9, 31.5, 31.2, 30.9, …
#> $ rviento <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 19, 69, …