Improvement of Spatial Data Quality Using the Data Conflation

  • Silvija Stankutė
  • Hartmut Asche
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6782)


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.


data fusion data conflation spatial data quality edge matching vector data homogenization heterogeneous spatial data data mining 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Silvija Stankutė
    • 1
  • Hartmut Asche
    • 1
  1. 1.Department of GeographyUniversity of PotsdamPotsdamGermany

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