15. Uncertainty and Error Propagation

Uncertainty describes as the degree to which the measured value of some quantity is estimated to vary from the true value. Uncertainty can arise from a variety of sources, including limitations on the precision or accuracy of a measuring instrument or system; measurement error; the integration of data that uses different scales or that describe phenomena differently; conflicting representations of the same phenomena; the variable, unquantifiable, or indefinite nature of the phenomena being measured; or the limits of human knowledge. Uncertainty is often used to describe the degree of accuracy of a measurement.

  • Spatial and spatio-temporal uncertainty modelling
  • Semantic uncertainty and vagueness
  • Uncertainty in remotely sensed data and sensor data
  • Modelling uncertainty using geostatistics and stochastic geometry
  • Scaling in spatial uncertainty assessment
  • Design and model-based approaches in spatial accuracy
  • Uncertainty analyses in GIS and spatial modelling
  • Sensitivity analyses technics for GIS and spatial modelling
  • Incorporating uncertainty in spatial decision making
  • Management of spatial uncertainty in knowledge-based systems
  • Uncertainty in big data and VGI

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