Week map using custom classification that illustrated the areas

 

Week 3 Exercise 2

            A
crime analysis is conducted and reviews Crime Incident data to determine the
number of commercial burglaries that had occurred within the jurisdiction
between the dates of January 1st, 2016 and December 31st, 2016. A program was
created and implemented on January 1st, 2017 with the aim of reducing the
number of commercial burglaries by the end of December. The Crime Analysis
conducted in 2016 produced a graduated polygon map using custom classification
that illustrated the areas that had been victim of commercial burglaries as
well as the areas that were subject to repeat victimization (Santos, 2017,
p159). During the month of January, 2018 – the data from 2017 is reviewed to
assess the effectiveness of the department’s response to commercial burglaries.
Crime analysis is conducted once again drawing from Crime Incident data
projecting the results onto a graduated polygon map making use of custom
classification again. By using custom classification, it allows the analyst to
maintain values and the same graduated colors and sizes between each annual map
(Boba, 2001, p65). This will give the audience — in this case the department
administrators — a more accurate and easier understood illustration of both
the before and after comparisons. The use of the graduated polygonal system
with simply the numbers of both time periods produces an image that is both
visually memorable and allows a quick comparison of both groups.

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Interactive Web Mapping Sites

Community
Crime Map by LexisNexis

            The
Community Crime map by LexisNexis utilizes Google Maps and shows data from
participating agencies around the United States and parts of Canada. The map
has a very clean display and utilizes point symbols for each incident type. The
Community Crime map also offers a buffer feature that can be enabled and that
buffer can range from 500ft up to 5 miles. You can display offenses or select
each individual type and the date range of incidents can also be selected. The
contributing agency information is shown. The contributing agency information details
the number of incidents submitted for that jurisdiction, the types of incidents
not reported, and the accuracy of geo-coding. The data source is shown as well,
but only offers partial addresses for privacy reasons. The map also gives the
option of enabling a density map feature.

Crime
Reports

            Crime
Reports uses software powered by Socrata and has crime analysis maps for 912
jurisdictions in the United States and El Salvador also participated at least
as recently as April of 2017. Crime Reports map is comparable to LexisNexis,
but differs in it shows multiple incidents in the same relative area (ex. 1000
block of A St) by displaying a number icon, which can be expanded to show what
incidents have occurred at the location. This feature at first glance can be misleading,
as one might believe it represents number of incidents that occurred at the
same exact location. The number icon must be expanded and then that information
must be looked over and it will display a case number for that incident. I
believe this was done in an effort to keep the map aesthetically appealing, but
information can be easily lost within that feature if the user does not pay
careful attention. The Community Crime Map by LexisNexis might appear more
‘cluttered’, but has less chance for data confusion. The Crime Reports map also
allows the user to select date and time of an incident and the type of
incident; however, there does not appear to be a density map feature or the
ability to enable a buffer.

After
comparing the LexisNexis’ Community Crime Map and Crime Reports — I believe
that LexisNexis’ Community Crime Map would provide information that would be
easier understood not only to the general public, but also to the contributing
departments. It would also appear that LexisNexis’ has more agencies utilizing
their program in comparison to Crime Reports – this could be partially due to
its’ design being more ‘user friendly’ and also to cost differences or product
availability.