  A cellular automaton (CA)-based modeling approach to simulate wildfire
spread, emphasizing its strengths in capturing complex fire dynamics and its
integration with geographic information systems (GIS).
  The model introduces an enhanced CA-based methodology for wildfire
prediction, emphasizing interactions between neighboring cells and
incorporating major determinants of fire spread, including wind direction, wind
speed, and vegetation density, while also accounting for spotting and
probabilistic transitions between states in the model to mirror real-world fire
behavior.
