NUS Urban Analytics Lab

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

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, making sense of big geospatial data in the built environment, and catering to disciplines such as architecture, urban planning, and real estate. We put a particular focus on the infrastructure and geospatial technology powering urban analytics and urban informatics (Geomatics, data standardisation, quality of data, and GIScience).

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).

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
  • Building Information modelling (BIM)

What’s up?

News from our lab

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

Visit to Seoul, Korea

Continuing the appearance of the UAL in East Asia

Call for papers for our workshop at ACM ICMR 2020 in Dublin

We’re involved in the ACM International Conference on Multimedia Retrieval (ICMR), by co-organising the Workshop on Intelligent …

Our participation at the World Economic Forum - Global Future Councils 2019

The WEF’s Global Future Councils are the world’s foremost interdisciplinary knowledge network dedicated to promoting innovative …

Welcome Jonas

Dr Jonas Teuwen is faculty and a deep learning scientist at the Radboud University Nijmegen in the Netherlands

Participation at Geospatial Kuala Lumpur 2019

We attended the Geospatial KL 2019 International Conference, which features the following three major conferences in one place: 6th …

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.

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 …

GeoBIM benchmark 2019: design and initial results

GeoBIM, the integration of 3D geoinformation (Geo) with building information models (BIM), is a subject of increasing attention in both …