Wildfire forecast prediction with second order Markov chain

This project is a basic wildfire forecast predictor using second order Markov chains. It is more of a proof-of-concept type of project but demonstrates that predictions can be obtained using relatively little math and computing power, only relying on a small amount of past data. It uses an input file containing daily AQI vaules and a smoke presence flag to be able to predict, given two starting daily conditions, the likelihood of different conditions any number of days in advance. It generates a graphical representation of the predicted forecast.

Built With

• python