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, A.L., Leroux, S.J., and Saunders, P.W. [submitted]. Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate. These data include information on environmental variables at...
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ftdatacite:10.6084/m9.figshare.1481062.v5 2023-05-15T17:22:05+02:00 Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate Tanner, Amy Leroux, Shawn P. Saunders 2015 https://dx.doi.org/10.6084/m9.figshare.1481062.v5 https://figshare.com/articles/dataset/Road_characteristics_best_predict_the_probability_of_vehicle_collisions_with_a_non_native_hyperabundant_ungulate/1481062/5 unknown figshare https://dx.doi.org/10.6084/m9.figshare.1481062 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Ecology FOS Biological sciences dataset Dataset 2015 ftdatacite https://doi.org/10.6084/m9.figshare.1481062.v5 https://doi.org/10.6084/m9.figshare.1481062 2021-11-05T12:55:41Z These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [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: spatialall.csv or spatialallcorr.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data. Dataset Newfoundland DataCite Metadata Store (German National Library of Science and Technology) Canada Leroux ENVELOPE(-64.231,-64.231,-65.619,-65.619) Saunders ENVELOPE(-45.316,-45.316,-60.700,-60.700) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Ecology FOS Biological sciences |
spellingShingle |
Ecology FOS Biological sciences Tanner, Amy Leroux, Shawn P. Saunders Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
topic_facet |
Ecology FOS Biological sciences |
description |
These datafiles are used in analyses contained in the manuscript Tanner, A.L., Leroux, S.J., and Saunders, P.W. [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: spatialall.csv or spatialallcorr.csv) while running the R code, be sure to set the Please read Metadata file carefully before using any of this data. |
format |
Dataset |
author |
Tanner, Amy Leroux, Shawn P. Saunders |
author_facet |
Tanner, Amy Leroux, Shawn P. Saunders |
author_sort |
Tanner, Amy |
title |
Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
title_short |
Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
title_full |
Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
title_fullStr |
Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
title_full_unstemmed |
Road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
title_sort |
road characteristics best predict the probability of vehicle collisions with a non-native, hyperabundant ungulate |
publisher |
figshare |
publishDate |
2015 |
url |
https://dx.doi.org/10.6084/m9.figshare.1481062.v5 https://figshare.com/articles/dataset/Road_characteristics_best_predict_the_probability_of_vehicle_collisions_with_a_non_native_hyperabundant_ungulate/1481062/5 |
long_lat |
ENVELOPE(-64.231,-64.231,-65.619,-65.619) ENVELOPE(-45.316,-45.316,-60.700,-60.700) |
geographic |
Canada Leroux Saunders |
geographic_facet |
Canada Leroux Saunders |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.1481062 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.1481062.v5 https://doi.org/10.6084/m9.figshare.1481062 |
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1766108369516494848 |