Columbia and NYU researchers develop wildfire prediction tool
The researchers are seeking to capture long-term trends in climate, vegetation topography, lightning, and human influences to come up with wildfire risk forecasts
New model uses applied mathematics and machine-learning algorithms to analyse data sources