Spatial Data Science in Higher Education

[RosemaryBoone]

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. If you're looking for spatial data science resources for teaching and research, visit this resource page as your first stop.

This resource page for teaching and research will help equip you with the information you need to get started with the following:

• Various spatial data science tools
• Lessons in spatial data science for teaching
• Python libraries and scripting resources
• GeoAI and deep learning examples
• Spatial data science success stories in higher education

Go to resource page >> https://go.esri.com/spatial-data-science-higher-ed