Spatial Data Quality: Problems and Prospects

This paper reflects upon the topic of spatial data quality and the progress made in this field over the past 20-30 years. While international standards have been established, theoretical models of error developed, new visualization techniques introduced, and metadata now routinely documented for spatial datasets, difficulties nevertheless exist with the way data quality information is being described, communicated and applied in practice by users. These problems are identified and the paper suggests how the spatial information community might move forward to overcome these obstacles.

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