Table 1 Description of SiMRiv’s functions, excluding auxiliary functions
Function | Description |
|---|---|
adjustModel | Finds approximations of the simulation input parameters able to generate simulations maximally similar to a given (real) trajectory, using the multi-objective genetic algorithm NSGA-II [46] |
generationPlot | Plots the evolution of the optimized solutions (sets of input parameters) along the generations of the optimization algorithm during input parameter approximation to real data. |
perceptualRange | Defines the perceptual range to be used in a behavioral state. |
sampleMovement | Resamples a simulated movement to a lower temporal resolution and computes step-wise statistics of turning angle, step length and accumulated resistance. |
simulate | Performs fast and spatially-explicit simulation of multistate random movements of individuals in an optional landscape resistance raster. |
species | Creates a species to be simulated, characterized by one or more behavioral states and the respective transition matrix. |
speciesModel | Defines a species model for which to adjust parameters based on a real trajectory, during the optimization performed by ‘adjustModel’. |
state, state.RW, state.CRW, state.Resting | Defines a behavioral state to be used when defining species. |
resistanceFromShape | Creates a resistance raster to be used in simulations, by rasterizing and combining different shapefiles. |
transitionMatrix | Defines the state transition matrix, i.e. the probability of the individual switching from each behavioral state to another in each step. |