Wildfire spread prediction involves using computational models and data analysis to anticipate the movement and growth of wildfires, which is critical for effective firefighting and resource allocation. This process integrates environmental variables, such as wind patterns, humidity, and vegetation, with historical fire data to improve accuracy and response times.