Introduction to Spatial Analytics for Crime Analysis


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.



[dt_sc_h3]Course Modules[/dt_sc_h3]

  • 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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[dt_sc_h4]Upcoming Sessions[/dt_sc_h4]


[dt_sc_toggle title=”September 6th and 7th”]

Irvine, CA

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Class will be held each day from 8:30 – 4:00 at the location provided above.



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[dt_sc_h4]Upcoming Sessions[/dt_sc_h4]

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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.

Brandon Clark
Brandon ClarkAlabama Power
Knowledgeable instructor, well paced class, applicable information covered, hands-on style
Jason Warzinik
Jason WarzinikBoone County, MO
"I have attended a number of instructor lead  training courses offered by ESRI, which are great in their own right, but the Mastering the ArcGIS Server JavaScript API course gets much more in-depth than they often do.  I really liked the recommended reading, they helped expand the terms being covered in lecture to concrete examples that could be related back to my work more directly instead of just having the lecture and exercises alone.  I learned a lot andwill recommend this and other GeoSpatial Training courses to the GIS'ers I know. Thanks for putting this course together and offering it ...
Chris Pollard
Chris PollardDelaware Valley Regional Planning Commission
"Very informative and knowledgeable course. It help determine which direction I should take my further GIS and web programming skills." -- Chris Pollard (Delaware Valley Regional Planning Commission)
Matt Gubitosa
Matt GubitosaU.S. EPA
"I strongly and highly recommend it" -- Matt Gubitosa, U.S. EPA
Michael Philp
Michael PhilpCity of Springville, UT
"Really good course material. Very relevant subject matter." --Michael Philp (City of Springville, UT)
Pal Herman Sund
Pal Herman Sund
"I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!" - Pal Herman Sund
Aleeta Zeller
Aleeta ZellerChattanooga RPA
Class was well organized, well paced and I learned a lot
Chris Hickin
Chris HickinNYC Fire Dept
"These courses are great. I am so pressed for time this is the only way I can acquire extra skills these days. Thank you Eric for all your hard work!" -- Chris Hickin (NYC Fire Dept.)
Joseph Monti
Joseph Monti
Definitely got me "over the hump" of being able to grasp Python.
Kyle Lockhart
Kyle LockhartEscambia County, FL
"I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the informationeasy to understand."  -- Kyle Lockhart (Escambia County, FL)

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