Pattern of Life in Time and Space

GeoTime is a powerful tool for understanding time-space data faster using 3D. Watch behavioral patterns develop over a 2D map using GeoTime's unique third axis: time.

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GeoTime application displaying data that moves through time and space

From Research to Acquisition

Uncharted developed GeoTime from an advanced research project and cultivated it in a nascent market into suite of enterprise-class products used around the globe. We're extremely proud that GeoTime is continuing its innovative journey to reach and serve an even greater audience.

 GeoTime Acquired by PenLink: The Next Chapter in Our Story

From Research to Acquisition

Uncharted developed GeoTime from an advanced research project and cultivated it in a nascent market into suite of enterprise-class products used around the globe. We're extremely proud that GeoTime is continuing its innovative journey to reach and serve an even greater audience.

 GeoTime Acquired by PenLink: The Next Chapter in Our Story

Award-Winning Pattern of Life Analysis

As a research project, GeoTime was a winner of IEEE Visual Analytics Science and Technology (VAST) contests for three years in a row!

The Science Behind GeoTime®

GeoTime was developed for an ARDA (predecessor of IARPA) program to enable the visualization and analysis of events and movement across geography and time. GeoTime has since transitioned to a full commercial product with deployments at major agencies in the U.S. and around the world.


Grand Challenge Award: Support for Diverse Analytic Techniques

2008 IEEE Visual Analytics Science and Technology VAST: Chien, L., A. Tat, P. Proulx, A. Khamisa and W. Wright

GeoTime and nSpace2 are interactive visual analytics tools that were used to examine and interpret all four of the 2008 VAST Challenge datasets. GeoTime excels in visualizing event patterns in time and space, or in time and any abstract landscape, while nSpace2 is a web-based analytical tool designed to support every step of the analytical process.


Configurable Spaces: Temporal Analysis in Diagrammatic Contexts

Thomas Kapler, Ryan Eccles, Robert Harper and William Wright

This paper traces progress from concept to prototype, and discusses how diagrams can be created, transformed and leveraged for analysis, including generating diagrams from knowledge bases, visualizing temporal concept maps, and the use of linked diagrams for exploring complex, multi-dimensional, sequences of events.


Learn more about GeoTime®