Supplement 1. Delphi/Pascal scripts for simulating and parameterizing individual-based movement models.

File List Hypercube_21_8_3x10e6_10e5.txt<br> IN_real_bas.txt<br> IN_real_galera.txt<br> IN_real_galera98.txt<br> IN_real_monteria.txt<br> IN_real_palas.txt<br> IN_real_Plantilla.txt<br> IN_real_quin.txt<br> IN_real_sierrecica.txt<br> MOD1_Definitions.txt<br> MOD1_Demographics.txt<br> MOD1_Dispersal.txt<br> MOD1_Main.txt<br> MOD1_Movement.txt<br> MOD1_Parameterization.txt<br> MOD1_Utils.txt<br> MOD2_Definitions.txt<br> MOD2_Demographics.txt<br> MOD2_Dispersal.txt<br> MOD2_Main.txt<br> MOD2_Movement.txt<br> MOD2_Parametrization.txt<br> MOD2_Utils.txt<br> usos4bas10m.txt<br> usos4gal10m.txt<br> usos4gal98_10m.txt<br> usos4pal10m.txt<br> usos4quin10m.txt<br> usos4sierr10m.txt Description Indivual-based models were developed in Delphi programming language. Programs in Delphi are divided in units, each one represented by a .txt file (in Delphi, with extension '.pas'). Our programs have six units with name starting with 'MOD_'. These units use external information: - Radiotraking record of radiotracked individuals (observed patterns). One file per location. Name: 'IN_….txt'<br> - Parameterizations that will be tested. One file pr program. Name: 'Hypercube_….txt'<br> - Habitat maps of the study areas (matrix of values). Name: 'usos4….txt' We present two programs: - Model1 (MOD1_) is the main simulation model that yields for each parameterization, <br> for each observed individual i and summary statistic j two indices m_ij and v_ij <br> that quantify the deviance between the summary statistics of the observed and simulated data considering observation error and process stochasticity <br> (see also Fig. D1 and Appendix D for details). <br> The dimensions (cols × rows) of the matrix result of this program = (n × 8 × 2) × (NPARM) where n × 8 × 2 means number of individuals × 8 summary statistics × 2 indices (mij, vij), and NPARM means the number of parameterizations tested. - Model2 (MOD2_) is a modified version of Model1 that assesses the inter-individual variability and the stochasticity due to the sampling protocol. Model2 describes, for all pairs of individuals, noise in the observed data with respect to the mean and standard deviation of the summary statistic j (m_j_kl, v_j_kl, see Appendices for details). Starting from these values, threshold values tmj, tvj are calculated.