Algerian Forest Fires Dataset

Attributes

1. Date: The specific date of the record.
2. Region: The region where the data was collected (Bejaia or Sidi Bel-Abbes).
3. Temperature (°C): Average daily temperature.
4. Relative Humidity (%): Average daily relative humidity.
5. Wind Speed (km/h): Average daily wind speed.
6. Rainfall (mm): Total daily rainfall.
7. Solar Radiation (MJ/m²): Amount of solar energy received per square meter.
8. Soil Moisture (%): Percentage of moisture in the soil.
9. Vegetation Density (%): Percentage representing the density of vegetation cover.
10. Fire Weather Index (FWI): An index calculating fire risk based on weather conditions.
11. Drought Code (DC): Indicates the potential for deep, smoldering combustion.
12. Fine Fuel Moisture Code (FFMC): Reflects the moisture content of litter and fine fuels.
13. Human Activity Level: Categorical variable indicating human presence (Low, Medium, High).
14. Fire Occurrence: Binary variable indicating whether a fire occurred (Yes=1, No=0).

Dataset Description

This enriched dataset is designed to facilitate advanced analysis of forest fire occurrences in Algeria. By incorporating both meteorological data and geographical attributes, the dataset allows for multifaceted studies into the causes and patterns of forest fires.

Key Enhancements:

• Temporal Expansion: Data now includes two fire seasons for trend analysis.
• Spatial Details: Added geographical features like elevation, slope, and aspect.
• Human Factors: Included distance to roadways and human activity levels to assess human impact.
• Environmental Indicators: Introduced variables like soil moisture, vegetation density, and fuel type.