Figure 2

Example report for the prey-predator model. PYTSA example report produced for a dataset of 100 independent simulations of a prey-predator model realised with NOISYSIM [26]. Dataset and the analysis script are available at [36]. The above script loads data where each output file is expected to have at least three columns (t stands for time, the free variable). Then, all the loaded time-series are visualised without processing for t ≤ 1000, and the probability distribution of preys/predators is numerically estimated (with normalisation an Gaussian fit) at t = 100. Finally, in the interval $t\in \left[0,100\right]$ the time-varying probability distribution is evaluated too, yielding a heatmap representation of the approximate solution of the master equation ruling the dynamics of preys/predators. This allows to investigate, visually, the model stability and possibly raise further questions about the species behaviour.