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Significant negative correlations of species richness of permanent resident, winter resident, and neotropical guilds with housing density, road density and volume of exotic woody species were found.
We examined existing administrative units (counties) with known biophysical (e.g., rainfall, topography) and socio-economic (e.g., population density, road density) characteristics.
Indices composed of several variables performed better than any individual variable, and best results came from a threshold method of scoring using six uncorrelated variables: housing unit density, road density, pesticide application, dam storage, land cover along a mainstem buffer, and distance to nearest canal/pipeline.
The first scenario emulates 3 accidents in 3 roads in low, medium, and high density road sections.
Also, for each measure the focus in terms of driver's experience (skill), age, owner and type of vehicle, and the (road) environment (traffic density, road category, special sections, lighting condition, and weather) were defined.
In the following, we present four different scenarios that evaluate the effect of varying vehicle density, road length, number of warning message senders, and channel conditions on the warning message performance.
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For this purpose correlation of housing density, distance from wildland urban interface (WUI), population density, road-density, vegetation type, and ecoregion with contemporary (2000) and historic (1960 2000) wildfire data were studied.
But there is a clear opportunity: Europe has a lot of urban density, roads that are less likely to follow grid patterns, and road names are very often the opposite of clearly marked.
A review of existing studies concluded that "children living or attending schools near high traffic density roads were exposed to higher levels of motor vehicle exhaust gases, and had higher incidence and prevalence of childhood asthma and wheeze".
In this paper, we present a novel particle filter-based localization system that adapts to varying degrees of map image densities, road layout ambiguity and visual appearance change.
Habitat use by gray wolves is strongly corrolated with the abundance of prey, snow conditions, absence or low livestock densities, road densities, human presence and topography.
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