Week map using custom classification that illustrated the areas

 Week 3 Exercise 2            Acrime analysis is conducted and reviews Crime Incident data to determine thenumber of commercial burglaries that had occurred within the jurisdictionbetween the dates of January 1st, 2016 and December 31st, 2016. A program wascreated and implemented on January 1st, 2017 with the aim of reducing thenumber of commercial burglaries by the end of December. The Crime Analysisconducted in 2016 produced a graduated polygon map using custom classificationthat illustrated the areas that had been victim of commercial burglaries aswell as the areas that were subject to repeat victimization (Santos, 2017,p159). During the month of January, 2018 – the data from 2017 is reviewed toassess the effectiveness of the department’s response to commercial burglaries.Crime analysis is conducted once again drawing from Crime Incident dataprojecting the results onto a graduated polygon map making use of customclassification again. By using custom classification, it allows the analyst tomaintain values and the same graduated colors and sizes between each annual map(Boba, 2001, p65).

This will give the audience — in this case the departmentadministrators — a more accurate and easier understood illustration of boththe before and after comparisons. The use of the graduated polygonal systemwith simply the numbers of both time periods produces an image that is bothvisually memorable and allows a quick comparison of both groups.Interactive Web Mapping SitesCommunityCrime Map by LexisNexis            TheCommunity Crime map by LexisNexis utilizes Google Maps and shows data fromparticipating agencies around the United States and parts of Canada. The maphas a very clean display and utilizes point symbols for each incident type. TheCommunity Crime map also offers a buffer feature that can be enabled and thatbuffer can range from 500ft up to 5 miles. You can display offenses or selecteach individual type and the date range of incidents can also be selected. Thecontributing agency information is shown. The contributing agency information detailsthe number of incidents submitted for that jurisdiction, the types of incidentsnot reported, and the accuracy of geo-coding.

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The data source is shown as well,but only offers partial addresses for privacy reasons. The map also gives theoption of enabling a density map feature. CrimeReports            CrimeReports uses software powered by Socrata and has crime analysis maps for 912jurisdictions in the United States and El Salvador also participated at leastas 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. 1000block of A St) by displaying a number icon, which can be expanded to show whatincidents 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 thesame exact location. The number icon must be expanded and then that informationmust be looked over and it will display a case number for that incident.

Ibelieve this was done in an effort to keep the map aesthetically appealing, butinformation can be easily lost within that feature if the user does not paycareful attention. The Community Crime Map by LexisNexis might appear more’cluttered’, but has less chance for data confusion. The Crime Reports map alsoallows the user to select date and time of an incident and the type ofincident; however, there does not appear to be a density map feature or theability to enable a buffer.Aftercomparing the LexisNexis’ Community Crime Map and Crime Reports — I believethat LexisNexis’ Community Crime Map would provide information that would beeasier understood not only to the general public, but also to the contributingdepartments. It would also appear that LexisNexis’ has more agencies utilizingtheir program in comparison to Crime Reports – this could be partially due toits’ design being more ‘user friendly’ and also to cost differences or productavailability.