In this two day class you’ll learn how to use perform spatial statistical analysis using ArcGIS Desktop and R. In the first half of the course we’ll explore the spatial statistics tools found in ArcGIS Desktop including how to measure geographic distributions and map clusters. Using ArcGIS Desktop 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 Desktop to create custom R spatial tools that integrate additional spatial statistical analysis including autocorrelation and autoregression.
- Module 1: Survey of ArcGIS Desktop Tools for Spatial Statistics
- Module 2: Measuring Geographic Distributions with ArcGIS Tools
- Module 3: Mapping Clusters with ArcGIS Tools
- Module 4: Modeling Spatial Relationships with Linear Regression in ArcGIS
- Module 5: ArcGIS Bridge to R
- Module 6: Introduction to Programming in R
- Module 7: Building Custom ArcGIS Tools with R
16 GISP Credit Hours
Course Formats and Pricing – Introduction to Spatial Statistics using ArcGIS and R
Class will be held each day from 8:30 – 4:00 at the location provided above.
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.
Our hybrid classes are conducted through our online training platform. All lectures are pre-recorded so that you can progress through the materials at your own pace. The same applies to the exercises. You will have access to the instructor via email, phone, or chat if you have questions or problems. The instructor will be in weekly contact with the students in each class session. Our goal is to get everyone through the materials during the session dates. However, access to the course materials never expires so if you don’t finish during the session dates you will still have access to the materials.
Add instructor support for your self-paced class. Support is provided by email, chat sessions, or phone.
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.
You can also register for classes using our registration form.