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Core Elements Considered for Experimental Representational Methodologies

Dive into experimental representational methodologies using geo-referenced data from various sources such as documents, operational maps, and imagery. Explore the contextual preservation of spatial relationships for multiple entities over time with user-defined representations and dynamic display features.

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Core Elements Considered for Experimental Representational Methodologies

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  1. Core Elements Considered for Experimental Representational Methodologies Geo referenced grid Textual data from documents Operational maps and imagery

  2. Geo referenced back plane for uniform mapping Any GPS data or map coordinates can be converted and used as inputs

  3. General Concept Overview Events (incidents) and entities occur in space and over time There are multiple parameters of interest for each event/entity What is it? How is it doing? When was it? Where is it? What is important about it? What other things are related to it?

  4. Complexity Enabled Scalable representational complexity enables multiple levels of detail to be conveyed spatially for each parameter of an entity of interest.

  5. Across space and throughout time Data of multiple types from multiple sources can be combined for both static and dynamic representations

  6. Context Preserving Relational Spatialization Multiple entities with multiple data streams can be represented in spatialized ways that maintain their relationships of space, time and parameter type with other entities.

  7. “Mind in the Loop” User specifiable representations User definable representations allow the user to turn on or off different parameters in order to highlight parameters of interest

  8. Dynamic Display Features Textual descriptors can be toggled on and off as needed

  9. Data from the Real World Geo referenced backplane Map from the internet Maps and images can come from different sources Digital photo of Operational map Digital imagery from NGA

  10. Mounting maps to the geo referenced backplane

  11. Operational Utility Maps can be applied to the geo referenced backplane by either hard coded coordinate locks or “eyeballed” for field expedient use

  12. JPG map from the internet

  13. Digital photo of Operational field map

  14. Overhead imagery from NGA

  15. Maps can be zoomed to the limits of their useful resolution

  16. Textual Documents As Data Source Data to be plotted on the fused maps comes from the daily ROC brief The daily intsum brief is parsed and sigacts are extracted

  17. Example data extracted from the ROC brief 030913Jul Zone 88. IDF attack on MNFI patrol. 022116Jul Zone 4. IDF attack on BIAP 022205Jul Zone 34. IED attack on MNFI patrol at GR MB 20000 85200. For the purpose of this experiment we focused on the following Date, time, general area, type of attack, entity attacked, coordinates

  18. Incidents from the intsum sigacts data are plotted on map

  19. The user can then assign colors to specific incidents of interest

  20. Example of user defined colors to different incidents

  21. Different perspectives can be navigated to using the pan, tilt and zoom

  22. Different views for different perspectives

  23. Examples of different perspectives and different color assignments

  24. Textual information can be turned on and off depending on use

  25. Same Data -- Different Focus

  26. Shareable Situational Awareness

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