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Mean haul-out duration in relation to predictor variables.

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https://figshare.com/articles/dataset/_Mean_haul_out_duration_in_relation_to_predictor_variables_/1427797
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For continuous predictors (i.e., cloud cover) the effect is the change in haul-out duration for a 1 unit change in the predictor. Marginal means (i.e., SAS least-squares means; [41]) are the estimated mean duration of haul-out bout at each level of the categorical predictor variable, adjusted for other variables in the model. 1‘hr_start’ and ‘hr_end’ not used simultaneously. 2Results for binary vessel predictors (i.e., absence/presence); results for the binary vessel variables are easier to interpret, but show similar patterns to the continuous vessel predictor models. Mean haul-out duration in relation to predictor variables.
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2015-05-27
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