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The observational errors in these two data sets are examined first.
These statistics indicate systematic errors exist between these two data sets.
We then performed hierarchical clustering on these two data sets to gain further insights.
Details of these two data sets are given in Tables 2 and 3.
Of note for these two data sets is that they cannot be directly linked.
ArcGIS was employed to link these two data sets and extract animal-related crashes and signs.
This is an indication that beta-Cauchy is over-parameterized for fitting these two data sets.
One issue with these two data sets is that they were found to have significant discrepancies by previous studies.
As a rule, differences between the mean intensities for these two data sets were statistically insignificant (t-test; P < 0.05).
It should be remembered that these two data sets have significant differences in terms of space and time sampling.
These two data sets are referred to as "most similar endpoints" and "most sensitive endpoints" in the following.
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