Accurate Mapping is The Epicenter for Making Sense of Your Crime Data
Let’s talk about mapping. Very few mapping systems, whether you are using GIS or some other type of mapping system, are always spot on. The reasons for these inaccuracies vary widely. From inaccurate GIS mapping at the onset, to duplicate addresses in your city that are only separated by a North-South or East-West designation, or simply a user data-entry mistake. Previously, I couldn’t change these map points in my records management system, nor did I have admin over the county GIS system that would allow me to change the points. However, I can now change them with CommandCentral. Recently, PublicEngines released a new feature dubbed the Data Quality and Validation tool, or DQV for short. With just a few steps I am now able to take my map, with an average of 150 inaccuracies a month, and turn it into a completely accurate crime map, with no inaccuracies.
How My Data Accuracy Quest Began
When I began the intelligence unit at my agency in the greater Atlanta area, one of the things I noticed first off was how inaccurate our crime mapping system seemed to be. As I began looking into the problem, I found that instead of it being the result of a single error, it was actually the result of a myriad of errors. Among those, were inaccurate geocoding, areas of my city that had been annexed in but not yet geocoded, duplicate addresses within my city, and of course data entry mistakes.
Now as you can imagine, as I began to remedy this situation I felt a little like a dog chasing its tail — I was certainly moving but I wasn’t making any progress. During one staff meeting, it became even more apparent that I needed to do something about the mapping inaccuracies when we began looking at crimes broken down by zone specifics. We looked for crimes that we knew had occurred in a certain zone so that we could speak about them as a command staff and form a tactical action plan. But when we began searching for them, we weren’t able to find the specific crimes. As I began searching within my RMS to locate these “lost” crimes, I found them all mapped outside of my city boundaries. Many of these “lost” crimes were plotted tens, hundreds, and even thousands of miles away from where they should have been. We had a serious problem to say the least, and unfortunately, no solution.
Fast-forward to my time at PublicEngines. One of the key drivers in developing the DQV tool was the research that I conducted in proactively auditing our customer’s databases. I found very quickly that my agency, with 150 mis-maps a month, was by far not on its own. The vast majority of agencies have mapping problems that they are either not aware of, or lack the to ability to fix. This is why I am so excited to introduce to you the DQV tool. Not only will you be able to identify all occurrences mapped outside of your jurisdictional boundaries, but you will be able to correct those errors in just a few steps.
A New Solution to An Age-Old Problem
As I’m sure you can attest, accurate data is paramount to conducting crime analysis that leads to actionable intelligence and crime reduction. The DQV tool in CommandCentral ensures that the most common data errors – mis-mapped and mis-classified crimes – are easily correctable so agency personnel can make resource decisions with confidence.
Here are a few highlights of its capabilities.
- Built-in alert bar notifies CommandCentral Analytics administrators when incidents are geocoded outside of an agency’s jurisdiction.
- Click-to-correct mismapped incidents – inaccurately mapped crimes can be corrected simply by clicking on the CommandCentral Map
- Create rules so that all future data synched to CommandCentral is mapped accurately
- Edit crime incident categorization
- Maintain data fidelity – changes are only made in CommandCentral, not in your RMS
Identifying mis-mapped crimes is as easy as selecting an Out of Area button in the system’s administration section. The tool then generates a list of occurrences that were all mapped outside of your jurisdictional boundaries. You can select any single occurrence listed to see where it’s currently positioned on the map, and then override it. This process is easy: simply select where that occurrence should be mapped. You can change the pin for this specific incident only or for all incidents previously mis-mapped in the same manner — which is especially important when it is one of those addresses that are constantly in error.
Visualizing and analyzing crime data through crime mapping solutions has been an essential tool in every agency’s arsenal since the mid 1800′s with the advent of the pin-map. Today, online tools make the task easier than ever. But the question remains, is the data you’re viewing accurate? With the DQV tool you can now be sure of it.