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AGILE: GIScience Series Open-access proceedings of the Association of Geographic Information Laboratories in Europe
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Articles | Volume 3
AGILE GIScience Ser., 3, 64, 2022
AGILE GIScience Ser., 3, 64, 2022
11 Jun 2022
11 Jun 2022

Rule-Based Quality Assurance Tool for 3D Buildings

Alpo Turunen Alpo Turunen
  • National Land Survey of Finland, Espoo, Finland

Keywords: data quality, 3d, quality assurance, automation, data integration

Abstract. This article presents a Data Quality Assurance (DQA) tool for 3D city buildings, which is developed using the FME Workbench application. It evaluates the quality of both CityGML and CityJSON data sets against predefined rules and produces quality information in the tabular or geometrical format. All violations are categorized based on their severity, which means that the tool can automatically discard or fix some of the found errors. By doing so, the tool can play an important role in Spatial Data Infrastructures (SDI) and improve data integration processes by improving data quality and interoperability.

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