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ZENODO
Software . 2015
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
Data sources: Datacite
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ZENODO
Software . 2015
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
Claim

Models for Temporal Patterns of Deer-vehicle Collisions in Bavaria, Germany

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Apr 2015Publisher:Zenodo
Authors: Hothorn, Torsten;

doi: 10.5281/zenodo.17179

Models for Temporal Patterns of Deer-vehicle Collisions in Bavaria, Germany

Abstract

This software analyses two time series of 341,655 DVCs involving roe deer and 854,659 non-deer-related accidents (non-DVCs) documented between 2002 and 2011 in Bavaria, Germany. Nonparametric smoothing and temporal parametric modelling are used to estimate annual, seasonal, weekly and diurnal patterns in DVCs, non-DVCs and adjusted DVCs. The models disentangle the relative role of human-related and deer-related processes contributing to the overall temporal DVC pattern.

Related Organizations
Keywords

Deer-vehicle accident, ungulate-vehicle collision, traffic mortality, seasonality, deer density

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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