Abstract
After the introduction of digital mapping techniques in the 1960s and then GIS shortly afterwards, researchers realized that error and uncertainty in digital spatial data had the potential to cause problems that had not been experienced with paper maps [1]. Spatial data quality is a very active domain in geographic information research. This paper describes the significance of data quality and how is data quality defined. Data conflation can help to increase the amount of suitable for usage data. This paper analyzes results of spatial data conflation. © 2011 Springer-Verlag.
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Stankute, S., & Asche, H. (2011). Improvement of spatial data quality using the data conflation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6782 LNCS, pp. 492–500). https://doi.org/10.1007/978-3-642-21928-3_35
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