NUS Urban Analytics Lab

Geospatial and 3D urban modelling research group at the National University of Singapore

We're editing a special issue in Transactions in GIS focused on topics in our domain: 3D GIS, BIM, and urban analytics. Please see the call for papers. The deadline to submit a paper is on 15 March 2020. Looking forward to your contribution.

We are an interdepartmental multidisciplinary research group established in 2019 focusing on urban analytics, geographic data science, and 3D city modelling at the School of Design and Environment, National University of Singapore (NUS), the #1 ranked university in Asia and world's #11 (QS).

Our mission is to leverage on spatially enabled data for urban applications, catalyse the development of 3D geoinformation in the context of smart cities, make sense of big geospatial data and digital twins in the built environment, and cater to disciplines such as architecture, urban planning, and real estate to make informed decisions using 3D city models and urban analytics. We appreciate the importance of geoinformation powering urban informatics, and put a particular focus on the geospatial infrastructure and technology supporting it.

The lab is led by Dr Filip Biljecki, asst prof at NUS Architecture and Real Estate.

We are involved in several international collaborations such as the World Economic Forum (WEF), the International Society for Photogrammetry and Remote Sensing (ISPRS), and the Open Geospatial Consortium (OGC). On the national level, we have collaborations with Singapore government agencies and companies.

You are welcome to follow our work through Twitter and our blog.

Interests and key words:

  • Geographical Information Science (GIS)
  • Geospatial machine learning, geographic data science
  • 3D city modelling / 3D GIS
  • 3D urban analytics
  • Spatial data quality and standardisation (CityJSON, CityGML)
  • Volunteered geoinformation (VGI) and OpenStreetMap
  • Building Information modelling (BIM)
  • Geospatial data visualisation

What's up?

News from our lab

Feel free to follow us on Twitter or through our RSS feed.

OGC considering CityJSON as community standard

CityJSON provides a simplified alternative to the GML encoding of CityGML that is also lightweight and suitable for use on the web and …

Introducing the application-driven LOD modeling paradigm for 3D building models

New journal paper published in the ISPRS Journal of Photogrammetry and Remote Sensing

Thesis opportunities for undergrad and grad students

We unveiled the list of thrilling student projects in GIS, 3D city modelling, and urban analytics

Funding opportunities for prospective PhD candidates and postdoctoral researchers

We have prepared an extensive list of external funding opportunities

Visit to Seoul, Korea

Continuing the appearance of the UAL in East Asia


Principal investigator


Filip Biljecki

Asst Prof in GIS and Lab Director



Ang Li Min

Student Researcher


Jin Yuchen

Student Researcher


Shantong Wang

Graduate Student



Li Jialin

Graduate Student


Jonas Teuwen

Visiting Scholar


Lee Yun-Ann

Graduate Student

Projects and themes

BIM-GIS interoperability

Integration of Building Information Modelling (BIM) and GIS

Urban Modelling and Smart Cities

Harnessing geographic information in the urban context.

Big Data in Real Estate

Leveraging urban analytics in real estate

3D Machine Learning

Augmentation of 3D city models with machine learning techniques

GeoBIM Benchmark

Reference study on software support for open standards of city and building models


Openings, scholarships, and fellowships

Please check the opportunities page for more information how to join us.


Our education activities

We are involved in teaching master courses and supervising dissertations. Are you looking for a thesis topic? Please check the teaching page for more information.

Recent publications

Our 10 latest papers. Enjoy

All our publications are available here.

An application-driven LOD modeling paradigm for 3D building models

The level of detail (LOD) concept for 3D building models, which indicates the degree of closeness between a model and its real-world …

The implementation of big data analysis in regulating online short-term rental business: a case of Airbnb in Beijing

With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating …

Considerations for a contemporary 3D cadastre for our times

A significant number of studies has been carried out to establish 3D cadastre solutions to improve the registration of multi-level …

GeoBIM benchmark 2019: intermediate results

An investigation into the implementation state of open standards in software is currently ongoing through the ISPRS/EuroSDR ‘GeoBIM …

Graph transformation rules for IFC-to-CityGML attribute conversion

In model transformation, the population of attributes on the target side constitutes the last step of the conversion process that …

Quality of BIM-GIS conversion

Much work has been done on quality of geoinformation and interoperability between BIM and GIS. However, the intersection of the two – …

Raise the roof: towards generating LoD2 models without aerial surveys using machine learning

LoD2 models include roof shapes and thus provide added value over their LoD1 counterparts for some applications such as estimating the …

Linking Persistent Scatterers to the Built Environment Using Ray Tracing on Urban Models

Persistent scatterers (PSs) are coherent measurement points obtained from time series of satellite radar images, which are used to …