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Area of Science:

  • Geographic Information Systems (GIS)
  • Computer-Aided Design (CAD)
  • Urban Planning

Background:

  • QGIS 3.0 introduced 3D visualization capabilities.
  • CityJSON emerged as a standard for 3D city models using JavaScript Object Notation (JSON).
  • Integrating semantic 3D city models into open-source GIS was previously limited.

Purpose of the Study:

  • To develop a QGIS plugin for loading and visualizing CityJSON datasets.
  • To enable the use of semantic 3D city models within the QGIS environment.
  • To bridge the gap between CityJSON data structure and QGIS's relational model.

Main Methods:

  • Developed a QGIS plugin to parse CityJSON files.
  • Analyzed CityJSON's tree structure to identify city objects.
  • Transformed CityJSON geometries and attributes into QGIS features and layers.
  • Addressed hierarchical data mapping to QGIS's relational model.

Main Results:

  • Successful parsing of CityJSON datasets was demonstrated.
  • The plugin effectively transforms CityJSON data into QGIS features.
  • Methods were developed to handle the mapping of hierarchical CityJSON data to QGIS.
  • CityJSON data can now be loaded and visualized within QGIS.

Conclusions:

  • The developed QGIS plugin facilitates the integration of semantic 3D city models.
  • The tool supports educational purposes and can benefit researchers and practitioners.
  • This advancement enhances the capabilities of open-source GIS for 3D urban data.