This high-level overview will equip you with the basic knowledge necessary to get started exploring your data in new and meaningful ways. Stepping through each of the Spatial Statistics toolsets, we will discuss how the tools function and provide a variety of example applications to demonstrate the range of questions that can be answered. Concepts covered will include describing the shape and spatial distribution of your data; comparing datasets in meaningful, defensible ways; and mining for multivariate patterns. If you’re new to Spatial Statistics this is a great way to familiarize yourself with these powerful tools, methods, and workflows. If you’ve been using Spatial Statistics for a while, come discover the powerful new machine learning clustering methods introduced in ArcGIS Pro 2.1.