ABSTRACT
The aim of spatial data quality control is to limit or even reduce overall spatial data uncertainty. Methods for describing uncertainties in spatial data have been given in the previous chapters. Examples provided include the methods for modeling positional uncertainty (Chapter 4) and the methods for modeling attribute uncertainty (Chapter 5). Both these chapters are introduced in Section II of this book. A further theoretical development beyond the uncertainty description is the creation of methods for controlling the quality of spatial data. These methods are introduced in Section V, and are found in Chapters 12 to 14.
