The KDE+ software: a tool for effective identification and ranking of animal-vehicle collision hotspots along networks

@article{Bl2015TheKS,
  title={The KDE+ software: a tool for effective identification and ranking of animal-vehicle collision hotspots along networks},
  author={Michal B{\'i}l and Richard Andr{\'a}sik and Tom{\'a}s Svoboda and Jiř{\'i} Sedon{\'i}k},
  journal={Landscape Ecology},
  year={2015},
  volume={31},
  pages={231-237}
}
Objective identification of locations on transportation networks, where animal-vehicle collisions (AVC) occur more frequently than expected (hotspots), is an important step for the effective application of mitigation measures. We introduce the KDE+ software which is a programmed version of the KDE+ method for effective identification of traffic accident hotspots. The software can be used in order to analyze animal-vehicle collision data. The KDE+ method is based on principles of Kernel Density… CONTINUE READING
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