ABSTRACT
The framework for modeling uncertainty in spatial data and spatial analyses covers the following: understanding the complex and uncertain nature of the natural world; the quantification of the uncertainties in the cognition of the natural world; the modeling of errors when measuring recognized objects; the determination of uncertainties in spatial object representation; the modeling of uncertainty propagation and amplification in spatial analyses; quality control for spatial data; and GISci applications based on uncertain and incomplete geographic information.
