aemet_forecast_fires: AEMET fires forecast

In climaemet: Climate AEMET Tools

AEMET fires forecast

Description

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
)

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().

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().

Value

A tibble or a SpatRaster object.

Source

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

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)

# Extract alerts
alerts <- aemet_forecast_fires()

alerts

# Nice plotting with terra
library(terra)
plot(alerts, all_levels = TRUE)

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

# SpatVector
cyl <- vect(cyl)

fires_cyl <- crop(alerts, cyl)
fires_cyl <- crop(alerts, cyl)
title <- names(fires_cyl)[1]

plot(fires_cyl[[1]], main = title, all_levels = TRUE)
plot(cyl, add = TRUE)

climaemet documentation built on April 4, 2025, 4:13 a.m.