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 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.