Introduction to Spatial Analysis Using ArcGIS Pro and R

16 GISP Credit Hours

Course Modules
  • Module 1: Introduction to Spatial Statistics in ArcGIS Pro
  • Module 2: Measuring Geographic Distributions
  • Module 3: Analyzing Patterns
  • Module 4: Mapping Clusters (Hot Spot Analysis)
  • Module 5: Modeling Spatial Relationships with Linear Regression in ArcGIS
  • Module 6: Introduction to R and RStudio
  • Module 7: The R-ArcGIS Bridge
  • Module 8: ArcGIS Binding Package
  • Module 9: Building an ArcGIS Script Tool with R

In this two day class you’ll learn how to use perform spatial statistical analysis using ArcGIS Pro and R. In the first half of the course we’ll explore the spatial statistics tools found in the Spatial Statistics toolbox of ArcGIS Pro including how to measure geographic distributions and map clusters. Using ArcGIS Pro geographic distribution tools you’ll learn how to calculate the central feature, determine directional distribution, linear directional mean, mean and median center, and standard distance. Cluster analysis will include generating hot spots, cluster and outlier analysis, grouping analysis, and similarity search. In the second half of the course you’ll learn how to connect R to ArcGIS Pro to create custom R spatial tools that integrate additional spatial statistical analysis including autocorrelation and autoregression.

Live Online Classes

None at this time

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.

In Person Classes

None at this time
Class will be held each day from 8:30 – 4:00 at the location provided above.




Add instructor support for $100 below. Support is provided by email, chat sessions, or phone.

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Our self-paced classes are delivered through our online training platform. You will be emailed instructions for creating a login and activating your course. All lectures are pre-recorded so you can progress through the course at your own pace. The same applies to the exercise. The course does not have an expiration date.

Don’t want to purchase online? You can also register for classes using our registration form.

Knowledgeable instructor, well paced class, applicable information covered, hands-on style.

Brandon Clark, Alabama Power

I strongly and highly recommend it

Matt Gubitosa, U.S. EPA

I really enjoyed the Python/ArcGIS course. For me the right balance between detail and overview. Good work!

Pal Herman Sund

I thought the course was very organized. The style of presentation and the lesson format worked well together. It made the information easy to understand. -

Kyle Lockhart, Escambia County, FL

Class was well organized, well paced and I learned a lot.

Aleeta Zeller, Chattanooga RPA

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.

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.

Jason Warzinik, Boone County, MO

Really good course material. Very relevant subject matter.

Michael Philp, City of Springville, UT

Definitely got me "over the hump" of being able to grasp Python.

Joseph Monti

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

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