• Ben Wiersma (10718087)
• Jari Maijenburg (11217189)
• Youri Moll (10714235)

Before development started, we did a lot of research on wildfires and wildfire simulations. We compiled this research into a PDF which can be found at the root of this repository (Initial_research.pdf).

What you will need before you can run this code

• Python 3
• Pip for Python 3

To setup the environment:

make env
source env/bin/activate
make build

To run the program:

python3 wildfire_simulator <grid_file> [interval]

where grid_file is the path to one of the JSON files in the grids folder that describe a landscape and interval is an optional argument which sets the amount of time in ms per frame of the simulation (lower is faster, default is 100 ms). We recommend using girds/hilly_small.json as a good example.

To generate a landscape to run the wildfire simulator in, you can use the script grids/generate_random_grid.py. Run ./grids/generate_random_grid.py -h for more information.

This program is based on this research by Joana Gouveia Freire and Carlos Castro DaCamara at the University of Lisbon.

Thanks to Amit Patel for this excelent information on generating landscapes with Perlin noise.