Robust strategies for forest wildfire mitigation under uncertainty

The following is the Python repository to
1) perform an optimization to minimize departure to historical conditions using gurobipy,
2) a LandClim simulation to simulate wildfires, and
3) a second level optimization that maximizes the frequency of units that contribute to optimal scenario optima (obtained with weighted sum method of separate scenarios), and
4) a visualization that illustrates how the contiguity constraint after Shirabe works.
This repository includes the input and output data for a publication under the same name. The project includes a description of how to run the models.