Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native, Hyperabundant Ungulate

These datafiles are used in analyses contained in the manuscript Tanner AL, Leroux SJ, and Saunders PW. [submitted]. Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native, Hyperabundant Ungulate. These data include information on environmental variables at 600 moo...

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Bibliographic Details
Main Authors: Tanner, Amy, Leroux, Shawn, Saunders, Paul
Format: Dataset
Language:unknown
Published: figshare 2016
Subjects:
Ecology
FOS Biological sciences
Canada
Leroux
Saunders
Newfoundland
Online Access:https://dx.doi.org/10.6084/m9.figshare.1481062.v8
https://figshare.com/articles/dataset/Road_characteristics_best_predict_the_probability_of_vehicle_collisions_with_a_non_native_hyperabundant_ungulate/1481062/8
Description
Summary:These datafiles are used in analyses contained in the manuscript Tanner AL, Leroux SJ, and Saunders PW. [submitted]. Road Characteristics Best Predict the Probability of Vehicle Collisions with a Non-native, Hyperabundant Ungulate. These data include information on environmental variables at 600 moose-vehicle collision locations, and 3296 randomly selected locations in Newfoundland, Canada. There are three buffer sizes (500m, 2736m, and 5471m) used for all variables that require buffered areas. This file also contains the R code that we used to conduct the analyses. We have included comments throughout the code in order to understand the operations being performed. When importing a new dataset (either: spatialall3.csv or spatialallcorr3.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data.

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