Find our presentations from UC and more

Introduction to Spatial Statistics, spatial distribution nearest neighbours and cluster analysis

Using Spatial Statistics to do More: Simple Approaches

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 many of the Spatial Statistics tools, we will discuss how the tools function and provide a variety of example applications to demonstrate the range of questions that can be answered. | Slides

Using Spatial Statistics for data mining and cluster analysis

Spatial Data Mining I: Essentials of Cluster Analysis

Whenever we look at a map, it is natural for us to organize, group, differentiate, and cluster what we see to help us make better sense of it. This session will explore the powerful Spatial Statistics techniques designed to do just that: Hot Spot Analysis and Cluster and Outlier Analysis. | Slides

Space time pattern mining using the space time cube

Spatial Data Mining II: A Deep Dive Into Space-Time Analysis

Space and time are inseparable, and integrating the temporal aspect of your data into your spatial analysis leads to powerful discoveries. This workshop will build on the cluster analysis methods discussed in Spatial Data Mining I by presenting advanced techniques for analyzing your data in the context of both space and time. | Slides

Model your data using regression analysis to discover relationships between variables

Modeling Spatial Relationships Using Regression Analysis

This workshop covers regression analysis concepts for the analysis of geographic data. Regression analysis allows you to examine, model, and explore data relationships to help answer “why?” questions, such as “why do we see so much disease in particular areas?”. | Slides

The R ArcGIS bridge combines visualziation ArcGIS Pro and analysis with R

Data Science Made Easy in ArcGIS using Python and R

Python and R provide a wide array of powerful modules that can expand the data science capabilities of ArcGIS. This session outlines integration techniques that allow you to call open source statistical packages to quantify patterns and relationships in your data. | Slides