Exploring an innovative evaluation method to ensure the quality of spatial data needed at the distribution stage: focused on building and road map in South Korea

Bo Mi Lee, Jinmu Choi

Research output: Contribution to journalArticlepeer-review

Abstract

This paper aimed to suggest a method to evaluate the quality of spatial data in order to increase the interoperability of national geospatial data. The national geospatial data is managed by the government and is provided to the public according to the Spatial Data Industry Promotion Act. Although the quality control is necessary in the every processing steps including data production, processing, distribution, and service. This paper focused data quality only on the distribution stage. The evaluation rules suitable for national geospatial data were derived by comparing and analyzing domestic and foreign standards for data quality. Then, the quality diagnosis were carried out using commercial software. Two diagnostic methods were applied to test data quality. One is ‘Layer-based Approach’ that requires a comparison between two layers and the other is ‘Geometry-based Approach’ that diagnose feature geometries in a single layer. The diagnostic methods have been applied to the building and road layers in Seoul. In conclusion, this paper presented the standard quality evaluation rules and criteria that could be applied immediately for spatial data distribution industry, although some of items checked by direct visual inspection. Later, it is expected all quality evaluation rules are fully automated.

Original languageEnglish
Pages (from-to)709-718
Number of pages10
JournalSpatial Information Research
Volume27
Issue number6
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • Data distribution
  • Data quality
  • Data usability
  • National geospatial information
  • Quality evaluation

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