Acceptance Curves for the Positional Control of Geographic Databases

Abstract

A simulation process is implemented in order to generate synthetic populations of positional-planimetric errors and later, by a bootstrap process, a family of acceptance curves (nomogram) has been derived. These curves allow us to learn the acceptance level, or pass level, of a geographic database when a positional control test based on bias and on variability is applied to it against a given standard. Acceptance curves allow us to report user’s risk and to determine the adequate size of the sample in order to reduce this risk to a desired level.