GeoCity

3D visualisation and analytics platform

A visualisation and analytics platform designed to support various use cases such as urban planning, disaster management, 3D cadastres and land administration, urban simulation, and digital twin.

This project aims to investigate how visualisation and analytics platforms and technologies can support different use cases such as urban planning, disaster management, 3D cadastres and land administration, urban simulation, and digital twin. GeoCity expects to generate new and better methods of visualising 3D data in a flexible way by utilising many different visualisation methods. In addition, GeoCity will support a wide variety of input formats ranging from 3D models, IoT data, XML formats and BIM models.

A screen capture of the GeoCity platform

The GeoCity platform will include a large number of features and technologies to facilitate visualisation of 3D models. The GeoCity platform features include:

  • 3D Visualisation: Optimised 3D visualisation of city and spatial data
  • Automated data processing: GeoCity allows for the input of a wide variety of data formats, and automates their processing
  • LOD View: Visualise different levels of detail for objects
  • Interactive enquiries: Interaction with 3D objects to identify and display their attributes
  • Indoor visualisation: View the inside of buildings, providing information at a room level
  • Line of sight: Query blocking objects in the line of sight between two positions
  • Shadow analysis: Accurate shadow analysis of buildings onto their surrounding environment
  • Planning: Users can test new building arrangements and study the effect on surrounding areas
  • Offline visualisation
  • Attribute classification
  • Spatial query (eg, Building height) Query attributes (eg, Building type)
  • Augmented Reality: Overlay spatial data onto the real world
  • Virtual Reality: Enter a virtual space to help visualise invisible
  • Multiplatform support: Android, iOS, web

Research team

Prof Abbas Rajabifard

Dr Ali Aien