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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.

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Combine powerful and out-of-the-box analytic tools with integration into external frameworks.
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User Story

Turning a challenge into an opportunity


This Saint Louis University professor transformed his traditional classroom curriculum into a remotely taught experience using ArcGIS Notebooks.

Spatial data science in higher education updates

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