Identification of local factors causing clustering of animal-vehicle collisions
| Autor: | Tomáš Bartonička, Richard Andrášik, Jiří Sedoník, Martin Duľa, Michal Bíl |
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| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Ecology Computer science Kernel density estimation food and beverages Collision 010603 evolutionary biology 01 natural sciences ComputingMilieux_GENERAL 010601 ecology Statistics General Earth and Planetary Sciences Cluster analysis Ecology Evolution Behavior and Systematics Nature and Landscape Conservation General Environmental Science |
| Zdroj: | The Journal of Wildlife Management. 82:940-947 |
| ISSN: | 0022-541X |
| Popis: | Effective measures reducing risk of animal vehicle collisions (AVC) require defining high risk locations on roads where AVCs occur. Previous studies examined factors explaining locations of individual AVCs; however, some AVCs can form hotspots (i.e., clusters of AVCs) that can be explained by local factors. We therefore applied a novel kernel density estimation (KDE) method to AVCs for the Czech Republic from October 2006 to December 2011 to identify AVCs hotspots along roads. Our main goal was to identify local factors and their effect on the non random (clustered) occurrence of AVCs. The remaining solitary AVCs occurred randomly and are likely induced by other human factors on the global scale. The hotspot identification method followed by the selected data mining methods (KDE methods) identified factors causing local clustering of AVCs. |
| Databáze: | OpenAIRE |
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