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.
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.