ABSTRACT
ABSTRACT This chapter enumerates different sources of error in spatial data. It highlights some recent cartographic developments in handling sampling error. We argue that uncertainty in spatial data needs to be addressed because error in spatial data affects the truthfulness of spatial patterns revealed by maps and the effectiveness of developing spatial models. We mention difficulties in defining neighborhoods and addressing aggregation error. Finally, we call for the inclusion of data quality information for each geographical feature in a spatial database as a prerequisite to addressing spatial data quality issues.
