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