Simulation

Simulated dataset : we used localGibbs movement model to simulate animal trajectories (100 per landscape x 100 landscapes) with known coefficient of habitat selection and used time-varying HSA to estimate theses coefficients.

data_rsf_parameter contains the expected and estimated coefficient for each simulated trajectories (x,y,t), according to the model parameter Q used for the estimation, and for each replication.

simulated_data_nstep250_... contains the simulated coordinates for "rare change scenario" and _20_ for "frequent change scenario"

habitat_raster contains the simulated habitat landscape used for each replication and each scenario

data_tRSF_Q... contains the same info than data_rsf_parameter but for each scenario-replication, rbind them to obtain data_rsf_parameter

Because of size, we provide the simulations for the first 30 replications only.