Geostatistical Modelling of Geomasked Data

Example of uniform geomasking: points are randomly displaced inside a circle of fixed radius.

In almost any geostatistical analysis, one of the underlying, often implicit, modelling assumptions is that the spatial locations, where measurements are taken, are recorded without error. In this project we aim at developing geostatistical inference when this assumption is not valid. This is often the case when, for example, individual address information is randomly altered to provide privacy protection (geomasking) or imprecisions are induced by geocoding processes and measurement devices.