Uncertainty in Geospatial Information Representation,
Analysis, and Decision Support

Funded by the National Imagery and Mapping Agency under the NURI University Research Initiative.
Supported by the National Science Foundation as part of the “Advancing Geographic Information Science” award to NCGIA.

Research Goals

The goal of the research is to improve the mechanisms by which users of the defense geospatial information infrastructure are made aware of the presence of uncertainty in data, and its implications for decision-making. Six areas are being addressed in a coordinated approach- elements of uncertainty, measures, models, portrayal, propagation, and higher dimensions. The research is being conducted by five teams, with frequent opportunity for cross-fertilization between them. Underlying our approach to this research are the following broadly defined objectives:
    1. to extend the current level of understanding of these six elements through basic research;
    2. to apply the results of research under the conditions typical of defense GII- real data sets of large volumes,
    real environments for visualization, real forms of analysis;
    3. to deal with special needs of defense GII- e.g., operational conditions, rapid decisions, particular data types,
    existing GII standards;
    4. to improve access to the results of research by implementing them in practical tools, primarily through collaborative
    efforts with software vendors, data custodians, and other geographic information scientists and technologists;
    5. to address the needs of users as well as creators of data, by including concern for their cognitive abilities and
    levels of understanding of geospatial concepts.

Investigated Topics and PIs

  Elements of uncertainty
  Measures of uncertainty
  Models for uncertainty
  Portrayal of uncertainty
  Propagation of uncertainty

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