Datasets Comparison
Version 1
Road mortality risk of a protected Felid across fragmented and heterogeneous landscapes in Central Europe: collision risk map and R code
Description
Material related to the manuscript 'Road mortality risk of a protected Felid across fragmented and heterogeneous landscapes in Central Europe' submitted to the Journal of Environmental Management.
It contains:
- R code used for the data preparation, analysis, and display of results;
- Predicted probability of wildcat-vehicle collision occurrence on the complementary log-log scale ranging between 0 and 1, in each 100 x 100 m pixel of the raster grid covering the road network in Germany.
- Multivariate environmental similarity surface (MESS) extrapolation uncertainty map, quantifying the degree of extrapolation to novel environments (i.e. extrapolation required for predictions in areas not included in the training data). Pixels with negative values (MESS < 0) represent environments that differ more strongly from those in the training data and might result in unreliable predictions.
Wildcat is a protected felid (Bern Convention and the EU Habitats Directive), and raw data of wildcat-vehicle collision locations cannot be shared.
Steps to reproduce
Please refer to the manuscript's methods.
Categories
Wildlife Ecology, Road Transportation, Wildlife Conservation
Licence
Creative Commons Attribution 4.0 International
Version 2
Road mortality risk of a protected felid across fragmented and heterogeneous landscapes in Central Europe: collision risk map and R code
Description
Material related to the manuscript 'Road mortality risk of a protected felid across fragmented and heterogeneous landscapes in Central Europe' (Bastianelli et al., 2025) published in the Journal of Environmental Management: https://www.sciencedirect.com/science/article/pii/S0301479725041283
It contains:
- R code used for the data preparation, analysis, and display of results;
- Predicted probability of wildcat-vehicle collision occurrence on the complementary log-log scale ranging between 0 and 1, in each 100 x 100 m pixel of the raster grid covering the road network in Germany.
- Multivariate environmental similarity surface (MESS) extrapolation uncertainty map, quantifying the degree of extrapolation to novel environments (i.e. extrapolation required for predictions in areas not included in the training data). Pixels with negative values (MESS < 0) represent environments that differ more strongly from those in the training data and might result in unreliable predictions.
Wildcat is a protected felid (Bern Convention and the EU Habitats Directive), and raw data of wildcat-vehicle collision locations cannot be shared.
Steps to reproduce
Please refer to the manuscript's methods.
Categories
Wildlife Ecology, Road Transportation, Wildlife Conservation
Related Links
Licence
Creative Commons Attribution 4.0 International