Research Article

Application of the Artificial Neural Network and Support Vector Machines in Forest Fire Prediction in the Guangxi Autonomous Region, China

Table 3

Overview of independent variables.

Influencing factorsIndependent variableSymbolVariable type

LocationLongitude (°)LonContinuous variable
Latitude (°)LatContinuous variable
Altitude (m)AltContinuous variable
Slope (°)SloCategorical variable
AspectAspCategorical variable
MeteorologyAverage surface temperature (°C)AvstContinuous variable
Daily maximum surface temperature (°C)MastContinuous variable
Daily minimum surface temperature (°C)MistContinuous variable
Cumulative precipitation at 20-20 (mm)PreContinuous variable
Average station pressure (hPa)SprContinuous variable
Average relative humidity (%)ArhContinuous variable
Minimum relative humidity (%)MrhContinuous variable
Hours of sunshine (h)SuhContinuous variable
Average temperature (°C)AteContinuous variable
Daily maximum temperature (°C)MateContinuous variable
Daily minimum temperature (°C)MiteContinuous variable
Average wind speed (m/s)AwsContinuous variable
Maximum wind speed (m/s)MwsContinuous variable
InfrastructureDistance between fire point and railway (m)RalContinuous variable
The shortest distance from the fire point to the water system (m)WatContinuous variable
Distance from fire point to highway (m)HigContinuous variable
Closest distance from fire point to residential area (m)SetContinuous variable
Social humanityPopulationPopContinuous variable
GDPGDPContinuous variable
Special festivalSfeCategorical variable
VegetationNDVINDVIContinuous variable