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From Maps to Models Augmenting the Nation's Geospatial Intelligence Capabilities (2016) / Chapter Skim
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Summary
Pages 1-8

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 1...
... The questions drive the choice of models, analytical methods, data, and computational resources as well as how these pieces will be combined to generate results with the necessary speed and accuracy. Using existing models or model output speeds the investigation and reduces its cost.
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From page 2...
... Once chosen, the models or model products are incorporated into an analysis, typically involving data and computation, to connect the model to the real-world system. A variety of analytical methods may be used in the investigation, such as methods to preprocess data before ingesting them into the model, to update the model state as new observations accrue, to calibrate model parameters, to combine subsystem models, to determine what new data to collect, or, crucially, to assess the credibility and uncertainty of the results.
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From page 3...
... For the NGA intelligence scenario, for example, a large-scale physical process model of the hydrologic system in China could be used to predict surface flow, subsurface flow, and abundance of water under different water diversion scenarios. • Social system models of human behavior in a geospatial context.
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From page 4...
... Network analysis models are graphical or statistical models that explain behavior among people related by friendship, financial, cultural, or other ties. Spatial network models, which combine spatial and network reasoning, explain how patterns of relations affect behavior.
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From page 5...
... Where to focus these investments depends on what models and analysis methods are proving most useful for geospatial intelligence. Potential research areas concern extending the use of existing models to NGA-relevant situations, improving understanding of human behavior, reducing the time required to develop, test, and run models, and developing methodologies tailored to NGA-relevant models and data, as described below.
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From page 6...
... Intelligence questions are often time sensitive, and so research advances that speed up model development, testing, or run time could prove beneficial to NGA. Model development could be sped up through research aimed at facilitating the combination of existing subsystem models for NGA investigations.
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From page 7...
... . Indeed, working with external modeling groups to use their models, model output, and analysis methods for geospatial intelligence purposes would stretch resources and help analysts gain knowledge and expertise in modeling and analysis methods.
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Key Terms

  • human behavior
  • analysis methods
  • network analysis
  • model parameters
  • inverse methods

  • spatial network
  • relevant models
  • nga intelligence
  • model development
  • model output

  • network models
  • intelligence purposes
  • spatial statistics
  • physical process
  • analytical methods

  • data mining
  • run time
  • process models
  • subsystem models
  • relations affect

  • affect behavior
  • geospatial data
  • model results
  • nga modeling
  • nga analysts

  • analysis models
  • existing models
  • network structure
  • disparate data
  • predict future


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