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Summary of generalised linear mixed-effect model (GLMM) comparisons: (a) GLMMs of cell use for within-year fidelity include seal identity and site as random effects; and (b) GLMMS of cell use for between-year fidelity include seal identity as a random effect (“celluse” = overlapping or non-overlapping, SST_SD = sea surface temperature standard deviation, SSHa_mean = average sea surface height anomaly, SSHa_SD = sea surface height anomaly standard deviation).

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https://figshare.com/articles/dataset/_Summary_of_generalised_linear_mixed_effect_model_GLMM_comparisons_a_GLMMs_of_cell_use_for_within_year_fidelity_include_seal_identity_and_site_as_random_effects_and_b_GLMMS_of_cell_use_for_between_year_fidelity_include_seal_identity_as_a_random_effect_822/1354568
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Only models with a delta AIC <10 are presented and the accepted model is presented in bold. k, number of paramaters; LL, log-likelihood; AIC, Akaike’s Information Criterion; ΔAIC, difference in AIC from that of the best fitting model; wAIC, AIC weight. Summary of generalised linear mixed-effect model (GLMM) comparisons: (a) GLMMs of cell use for within-year fidelity include seal identity and site as random effects; and (b) GLMMS of cell use for between-year fidelity include seal identity as a random effect (“celluse” = overlapping or non-overlapping, SST_SD = sea surface temperature standard deviation, SSHa_mean = average sea surface height anomaly, SSHa_SD = sea surface height anomaly standard deviation).
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2015-03-25
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