DATAstudio (version 1.2.1)

wildfire: Portugal Wildfire Data

Description

The wildfire data from Portugal contains daily burnt area (in hectares) for wildfires in Portugal, and Canadian Forest Fire Weather Index System indices between 1980 to 2019.

Usage

wildfire

Format

wildfire is a data frame with 14609 occurances (rows) and 11 variables (columns).

The wildfire data frame contains the following columns:

Burnt_Area

: daily burnt area in hectares.

DSR

: Daily Severity Rating (DSR), a numeric rating of the difficulty of controlling fires.

FWI

: Fire Weather Index (FWI), a numeric rating of fire intensity.

BUI

: Buildup Index (BUI), a numeric rating of the total amount of fuel available for combustion.

ISI

: Initial Spread Index (ISI), a numeric rating of the expected rate of fire spread.

FFMC

: Fine Fuel Moisture Code (FFMC), a numeric rating of the moisture content of litter and other cured fine fuels.

DMC

: Duff Moisture Code (DMC), a numeric rating of the average moisture content of loosely compacted organic layers of moderate depth.

DC

: Drought Code (DC), a rating of the average moisture content of deep, compact organic layers.

day, month, year

: timestamp to date for each datapoints.

References

Lee, M. W., de Carvalho, M., Paulin, D., Pereira, S., Trigo, R., and da Camara, C. (2025). BLAST: A Bayesian Lasso tail index regression model with an application to extreme wildfires. Submitted.

Examples

## preview of the data
data(wildfire)
head(wildfire, 10)
summary(wildfire)

if (FALSE) {
require(ggplot2)
## visualizing the data by month
ggplot(wildfire, aes(x = month, y = Burnt_Area, color = month)) + 
    geom_point(size = 3) +
    xlab("Month") + 
    ylab("Burnt Area (ha)") +
    theme_minimal()
}