- Python script to run the forest-fire simulation
- Also, run various parameter change of the system (system size, p, p/f)
- Calculate the critical exponent
- Python script to 'unfold' the saved data and plotted the figure in the folder of relevant_file
- Calculate the critical exponent
- Plot of tree density vs f/p for a system size of 50 by 50 and various choice of f and p
forest-size vary, fix p, pbf.png; forest-size vary, fix p, pbf1.png;forest-size vary, fix p, pbf2.png;forest-size vary, fix p, pbf3.png
- Plot of number of cluster given size and radius of cluster for different system size while setting p and p/f to be the same across comparison
- __pbf.png is for p/f = 10, p = 0.5
- __pbf1.png is for p/f = 100, p = 0.5
- __pbf2.png is for p/f = 10, p = 0.05
- __pbf3.png is for p/f = 100, p = 0.05
- Corresponding simulation data saved in the similar naming
- Plot of number of cluster given size and radius of cluster for different p/f value while setting p and system size to be the same across comparison
- Corresponding simulation data saved in the similar naming
- Plot of number of cluster given size and radius of cluster for different system size and p/f value while setting p to be the same across comparison
- __pbf.png is for p = 0.5
- __pbf1.png is for p = 0.05
- Simulation data of forest fire given various value of additional immunity probability (from 0 [basic forest fire] to 1 [all tree immune from neighborhood fire])
- The summarized simulated data plotted and saved in the following figure AverageNumClusterVsImmune.png; (Average number of cluster as a function of immunity rate) ClusterSizeVsImmune.png; (Average cluster size as a function of immunity rate) DensityVsImmune.png; (Average tree density as a function of immunity rate)
- Data that involves immune rate included in simulation_result/immune_variation/immune###.
- immune###, the first number is number before decimal and the rest is after decimal
- Each folder named according to the parameter of the simulation
- 'forest-fire_#Rowsx#Cols_p_pbf_iteration'
- #Rows, #Cols : The number of rows and columns in the system
- p : The value of tree growth probability
- pbf : The p/f value (or zeta in Jason's report)
- iteration : The number of iteration for the simulation result
- Each folder contains their corresponding simulation data and figure