A Comparison of Data Sets Varying in Spatial Accuracy Used to Predict the Occurrence of Wildlife-Vehicle Collisions
Where high-traffic roads are situated near wildlife habit, there are significant safety and conservation concerns. Improvements to these areas depend on the quality of Wildlife-vehicle collision data collection. There are a couple approaches to derive spatially accurate descriptions of an area, and a couple methods for predicting the locations. It is unclear if the different appraoches produce similar results. The first objective of this paper are to determine and compate the spatial error found in road-marker data and land-mark references data, and the second objective is to evaluate the performance of models explaining the varying probability of wildlife-vehicle collision areas by using the data collection methods concurrently along five different major roads in the central Canadian Rocky Mountains. The study shows that spatial error and sample size are important factors for model output interpretation.