Comparisons of 3 Mapping Tools on the Number of Arrests in Different Police Departments

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BatchGeo

MapMe

Google Fusion

Pros and Cons of BatchGeo, MapMe, and Google Fusion:

After creating the three maps based on the number of arrests in different police departments, I have found that MapMe was the easiest and most efficient mapping tool for police data. The hardest mapping tool to work with was Google Fusion Tables because I was not able to map large amounts of data, had to separate addresses by street, city, and zip code, and the mapping process did not pose many obstacles when I manually inputted data into Google Fusion. When I uploaded the Google Sheets/Excel file, it was difficult to map out the points because in police data, there are many categories and subcategories of arrest. For BatchGeo, the mapping was simple and efficient, but I was not allowed to input any additional information. For example, within each police department, there were a number of offenses such as assaults, kidnapping, homicides, etc and in BatchGeo, I would have to click on the police department which would then lead me to different offenses. This visual is not as effective because it is easier to hover over a point and have the information pop out than have the individual searching for the information.

What was good about MapMe was that it allowed me to input the addresses in one form. I did not have to separate by street or zip code and the mapping tool is straight forward for beginners and efficient. MapMe also allowed me to input information in the description box which allows the person viewing the map see the number of offenses in different police departments when the computer mouse is hovered over the point on the map. What is good about BatchGeo is that there is a box to drag/copy data from a spreadsheet, generates map within seconds, and is simple. As a result, the best mapping tool to use for police data would be MapMe because MapMe can handle a lot of information, does not require the address to be separated, allows the user to input additional information, and is simple enough for beginners to understand.

Types of Police Arrests in the Neighborhood Behind the Rocks and SouthWest, Connecticut

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This interactive map of Connecticut shows the relationship between the types of police arrest with respect to the Behind the Rocks and the SouthWest neighborhood.  In this map, the types of police arrests such as theft, assault, motor vehicle robbery, and larceny have more reports in the neighborhood Behind the Rocks compared to SouthWest. The visual data of the types of police arrests will help identify patterns such as demographic patterns that may play a part in the rate of assault arrests in certain neighborhoods.

Connecticut Open Data Source

Police Incident Repository File

My Partnership with the Injury Prevention Center, Connecticut Children’s Medical Center

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Hello Everyone!

I’m Stacy Lam, I was born and raised in Chicago, IL a.k.a “The Windy City”. I’m currently a first year at Trinity College and I intend to major in Engineering. Many people are unaware that injuries are ranked 4 on the among causes of death and has been termed as “the neglected epidemic”. The tragedy is that injuries could be prevented and I am interested in learning about the public health approach to injury prevention.

In this data visualization course, I am working with Garry Lapidus, the director for Connecticut Injury Prevention Center. The mission of the Injury Prevention Center (IPC) at Connecticut Children’s is to reduce unintentional injury and violence among Connecticut residents. I will be focusing creating an interactive data visualization on intimate partner violence in Connecticut. I plan on creating an interactive map of Connecticut to portray the rates of intimate partner violence in neighborhoods as well as incorporate other variables such as the involvement of children. The goal is to be able to portray a story to the public through data visualization.

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