In this two day class you’ll learn how to perform spatial analytics techniques for crime analysis using ArcGIS Desktop and the Spatial Statistics toolbox. After a survey of spatial statistics tools that can be used for crime analysis, you’ll learn how to measure the distribution of crime, create hot and cold spot maps, and determine outliers.
Hot spot analysis enables you to find statistically significant areas of a particular phenomenon. For example, you might want to create a hot spot map that shows the intensity of car theft for a metropolitan area. Outlier analysis, which should always be performed with hot spot analysis, enables you to find outliers of a particular phenomenon. In our study of car theft this might be the identification of areas that are “hot” for car theft in areas you wouldn’t normally expect.
Next you’ll learn how to perform grouping analysis and perform similarity searches. Grouping analysis allows you to group areas that are most similar, or least similar. For example, in a study of residential burglary for a metropolitan area by census block you could use grouping analysis to determine which census blocks were most “similar” to others. Similarity search allows you to identify areas that are most similar to a target feature. For example, if you have identified a street with a high number of auto/pedestrian accidents, you could use similarity search to identify other streets in the area that have a similar number of these accidents. The results are rank ordered to identify which streets are most similar.
In this class you’ll also learn how to use linear regression to create crime models that give you insight into the reasons why a particular type of crime is occurring. Understanding the correlation between crime and demographic, socio-economic, and spatial variables is very helpful for making decisions. Once you know what variables are most influential in causing a particular type of crime you can begin to make policy decisions that address these.
We’ll also investigate tools that will enable you to see patterns of crime by space AND time. This type of spatial/temporal analysis is critical to the understanding of crime in many contexts. For example, you could analyze the times of day or particular times of year when a particular type of crime is occurring in a particular area. You can also determine the crime trends for areas over longer periods of time.
Finally, you’ll learn how to use the online visualization platform Plotly to create supplemental charts and graphs from your GIS data.
- Module 1: Survey of ArcGIS Spatial Statistics Tools for Crime Analysis
- Module 2: Measuring the Geographic Distributions of Crime
- Module 3: Creating Hot Spot Crime Cluster Maps
- Module 4: Mapping Crime Outliers
- Module 5: Grouping Analysis and Similarity Search
- Module 6: Modeling Why Crime Occurs with Linear Regression
- Module 7: Analyzing the Spatial and Time Patterns of Crime
- Module 8: Supplementing Maps with Charts and Graphs using Plotly
[dt_sc_h3]16 GISP Credit Hours[/dt_sc_h3]
[dt_sc_h3]Course Formats and Pricing[/dt_sc_h3]
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Class will be held each day from 8:30 – 4:00 at the location provided above.
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Our live-online classes are conducted from 9:30 – 5:00 each day. Classes are delivered via GoToTraining. You will receive an email containing login instructions for the GoToTraining session on the Wednesday before class begins.
You can also register for classes using our registration form.