Skip to Content

Spatial Analysis and Data Science

Spatial data science solves problems by transforming data into useful information. It enriches traditional data science by incorporating spatial characteristics such as proximity, coincidence, and connectivity in creating models and making predictions. Spatial data science gives students unique skills and advantages that are in high demand in the workplace. This web page is your first step in learning how to incorporate spatial data science into your curriculum through capabilities, examples, success stories, and training.

User Story

Villanova Moves Class Online with ArcGIS Insights

Students at Villanova University use ArcGIS Insights to discover trends and patterns in their data.

Access additional education resources

Provide your information to receive the latest lessons, training opportunities, and case studies.