adjustModel

Finds approximations of the simulation input parameters able to generate simulations maximally similar to a given (real) trajectory, using the multiobjective genetic algorithm NSGAII [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 stepwise statistics of turning angle, step length and accumulated resistance.

simulate

Performs fast and spatiallyexplicit 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.
