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Geo-Temporal Network Visualization for Intelligence

This project aims to develop intuitive tools for geospatial intelligence network visualization, addressing information overload faced by analysts. The focus is on communication and tracking, including innovative 3D representations. The goal is to fuse geospatial and non-geospatial data for a comprehensive view.

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Geo-Temporal Network Visualization for Intelligence

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  1. Geo-temporal network visualisation for Intelligence Dr Paul Wonnacott, Data and Text Mining team pwonnacott@qinetiq.com

  2. Overview • Need for techniques/tools to support the visualisation of intelligence-related networks that are geospatial in nature, but can vary over time • Tools must be intuitive, easy to use & deliver real immediate benefits • Analysts suffer greatly from information overload • Will use mock-ups based on simplistic network visualisations from previous projects to motivate the need • Communication • Tracking • Will suggest a ‘radio player’ type, animated approach (potentially in 3D) to represent non-geospatial data

  3. Communication • Attempting to visualise communication between an individuals & their contacts distributed around the globe • Original visualisation was a static I2 chart • Want to be able to visualise communication events in the individuals social network over time, together with significant geo-temporal events (e.g., a meeting) • May also want to visualise non-geospatial data, e.g., affiliation • Might be suited to 3D visualisation? • Spatial & abstract layers

  4. Tracking • Attempting to visualise networks representing ‘the movement of things’ & significant geo-temporal events • Original visualisation was a static ArcGIS map • Visualisation of modes of transport is being considered • Also like to be able to visualise probability density functions of ‘possible’ movement

  5. Final remarks • Motivated the need for techniques/tools to support the visualisation of intelligence-related networks that are geospatial in nature, but can vary over time • May want to fuse non-geospatial network data to present a coherent view • 3D representation may be suitable • Suggested a ‘radio player’ type, animated approach • Any tools developed must be intuitive, easy to use & deliver real immediate benefits

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