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ThinkGeo’s Chicago Crime Map & How We Built It

ThinkGeo’s Chicago Crime Map displayed through Cluster Points

The infrastructure of cities can dictate crime frequency. The placement of buildings, main arteries, parks, alleys, and police stations can affect a city’s likelihood to experience crime. ThinkGeo’s mapping tools can highlight crime within cities so that we can study the results and see where the trouble spots are, and more importantly, enable law enforcement agencies to plan accordingly and notice trends.

One way of visualizing data and frequency is by using “clustered points” in your GIS project.  Mapping clusters allows us to take easy notice of hot spots, cold spots, outliers and other trends. Let’s take a look at how easy it is to add “clustered points” with ThinkGeo’s mapping tools and let’s get started on empowering your data to have the impact you want.

With ThinkGeo’s Cloud mapping tools you can use your own data and even pull from live data sources to produce a real-time evolving map similar to our Chicago Crime Map.  In the near future you’ll be able to upload your data to the ThinkGeo Cloud and let us host it for you! From size, style and logic controlling the clusters can all be fined tuned to match your goals and imagination.  We’ll take you through the steps of adding a base layer, styling the maps/polygons and loading the data from a GeoJSON file.

Below are some code snippets taken from our sample creation. We encourage you to check out the sample and code in full. With a free 60-day evaluation of ThinkGeo Cloud you can start building maps that meet your vision and your goals. We look forward to highlighting future stories and real-world topics of importance with the help of ThinkGeo Cloud and our mapping tools.

Create our base layer with ThinkGeo Cloud
Loading the data and visualizing it on our map

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