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Supplement 1. R script for analyzing the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection.

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https://figshare.com/articles/dataset/Supplement_1_R_script_for_analyzing_the_effects_of_environmental_variables_linear_features_roads_power_lines_rivers_and_linear_feature_combinations_on_moose_step_selection_/3563976
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File List moose.r (MD5: eca62b33b44187ca6fe4c82269008b96) Description The R code includes the commands to run a basic ("mcb"), barrier ("mcr"), corridor ("mcor") and a combined ("mco") cox proportional hazard model testing for the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection. The code to calculate QIC values ("QIC.coxph", from Mathieu Basille), a customized predict function for cox proportional hazard models ("prcph2"), the code to reproduce model predictions, graphs and the code for seasonal models is also provided. The code should be run consecutively. The data file to be used with the R-script moose.r to analyze the effects of environmental variables, linear features (roads, power lines, rivers) and linear feature combinations on moose step selection may be obtained from the authors upon request. The data was derived from moose GPS relocation data collected in Central-Norway during 2006-2010. A description of the variables can be found in the R-script moose.r. Please ask the Norwegian Institute for Nature Research (NINA) for consent before using this data for publication. Contact Erling.Solberg@nina.no and Christer.Rolandsen@nina.no.
创建时间:
2016-08-10
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