The Spatial Data Error Classification and Quality Control Base on the Workflows

摘要

This paper discusses the reason of the spatial data quality problem base on the spatial data production, puts forward to the spatial data error classification according to the workflows, which includes the data source error, the data capturing error and the system processing error, then all accumulated error becomes the data source error of the next workflows. On the basis of this error classification, the data capturing error is the main factor to affect spatial data quality, because of there are great deal of man-machine interaction in the data capturing workflows, human's mistake is uncontrollability. The visualization of spatial data is the most valid check means in error. The data visualization can improve spatial data quality in the workflows through the map symbolization, the visualization of the attribute data, the map topology checking and map edge matching.