All data prepared by
MARIN includes geographical,
temporal and attribute
information for each record. This enables many different
types of analyses to be performed. For instance, the temporal
distribution of a dataset such as fishing traffic would
illustrate the seasonal nature of fishing activity. The
spatial analysis of recreational traffic would illustrate
the geographical distribution of recreational boating
activity. Using size characteristics of a vessel, one
could compare the spatial distribution of different vessel
size classes. For instance, one might be interested in
seeing if larger vessels tend to travel further from shore.
Alternatively, are smaller vessels traveling further from
shore more now than they used to?
More complicated analysis compares and combines data
from different data sets. For instance, relating the number
of merchant vessel accidents to the volume of merchant
traffic in a region can be used to find geographical areas
where the number of accidents is disproportional to the
volume of traffic (i.e. areas that have a high incident
rate). Once an area or data subset has been identified
as having an elevated
risk
level, one can begin to focus
on the reasons why this is the case.
Methods which we employ include:
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