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AEMET fires forecast

Source: R/aemet_forecast_fires.R
aemet_forecast_fires.Rd

Get a SpatRaster as provided by terra with the daily meteorological risk level for wildfires.

Usage

aemet_forecast_fires(
  area = c("p", "c"),
  verbose = FALSE,
  extract_metadata = FALSE
)

Source

https://www.aemet.es/en/eltiempo/prediccion/incendios.

Arguments

area

The area, being:

  • "p" for Mainland Spain and Balearic Islands.

  • "c" for Canary Islands.

verbose

Logical TRUE/FALSE. Provides information about the flow of information between the client and server.

extract_metadata

Logical TRUE/FALSE. On TRUE the output is a tibble with the description of the fields. See also get_metadata_aemet().

Value

A tibble or a SpatRaster object.

Details

The SpatRaster provides 5 (factor())levels with the following meaning:

  • "1": Low risk.

  • "2": Moderate risk.

  • "3": High risk.

  • "4": Very high risk.

  • "5": Extreme risk.

The resulting object has several layers, each one representing the forecast for the upcoming 7 days. It also has additional attributes provided by the terra package, such as terra::time() and terra::coltab().

See also

Other aemet_api_data: aemet_alert_zones(), aemet_alerts(), aemet_beaches(), aemet_daily_clim(), aemet_extremes_clim(), aemet_forecast_beaches(), aemet_forecast_daily(), aemet_last_obs(), aemet_monthly, aemet_normal, aemet_stations()

Other forecasts: aemet_forecast_beaches(), aemet_forecast_daily(), aemet_forecast_tidy()

Examples

aemet_forecast_fires(extract_metadata = TRUE)
#> # A tibble: 1 × 6
#>   unidad_generadora         descripción periodicidad formato copyright notaLegal
#>   <chr>                     <chr>       <chr>        <chr>   <chr>     <chr>    
#> 1 Servicio de Aplicaciones… Mapa de ni… diario       image/… © AEMET.… https://…

# Extract alerts
alerts <- aemet_forecast_fires()

alerts
#> class       : SpatRaster 
#> dimensions  : 180, 277, 8  (nrow, ncol, nlyr)
#> resolution  : 0.05, 0.05  (x, y)
#> extent      : -9.5, 4.35, 35.05, 44.05  (xmin, xmax, ymin, ymax)
#> coord. ref. : lon/lat WGS 84 (EPSG:4326) 
#> source(s)   : memory
#> color table : 1, 2, 3, 4, 5, 6, 7, 8 
#> names       : 2024-09-10, 2024-09-11, 2024-09-12, 2024-09-13, 2024-09-14, 2024-09-15, ... 
#> min values  :          1,          1,          1,          1,          1,          1, ... 
#> max values  :          4,          5,          5,          5,          5,          5, ... 
#> time (days) : 2024-09-10 to 2024-09-17 

# Nice plotting with terra
library(terra)
#> terra 1.7.78
plot(alerts)


# Zoom in an area
cyl <- mapSpain::esp_get_ccaa("Castilla y Leon", epsg = 4326)

# SpatVector
cyl <- vect(cyl)

fires_cyl <- crop(alerts, cyl)
plot(fires_cyl[[1]])
plot(cyl, add = TRUE)