Geospark Analytics' Events are derived from an AI-driven deep learning model that categorizes disparate forms of information into classes of activities. While most systems categorize events based on a keyword-driven taxonomy or ontology, Hyperion Events learn patterns in unstructured data to recognize patterns in social media, news media, and other source data and categorize it automatically into event themes.

Experience Geospark Analytics AI data in our interactive Story Map.

Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.

For more information on Geospark Analytics Event models visit our product page.

For use cases on how Geospark Analytics Event models can be used visit our blog.

Contact us at sales@geospark.io for multiuser or enterprise pricing.

Event Theme	Periodicity	Sources
Disaster Data	Near-real-time	News, Social, Government Sites
Crime Data	Near-real-time	News, Social, Bespoke Crime Data Sources
Conflict Data	Near-real-time and daily	News and Social
Travel Safety Data	Near-real-time, daily, long-term	Governments (US, UK, AUS, NZ)
Unrest Data	Near-real-time, daily, long-term	News, Social, Government Sites
Health Data	Near-real-time	News, Social
Terrorism Data	Near-real-time, daily	News, Social
Transportation Data	Near-real-time, daily	News, Social