NUS Urban Analytics Lab

Geospatial and 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 leveraging spatially enabled data for urban applications, making sense of big geo data in the built environment, and catering 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 foundations of 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 and the International Society for Photogrammetry and Remote Sensing (ISPRS).

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)
  • Having lots of fun with spatial data, plots, and maps ☺️
We’re currently occupied with adding more content to the website of our new lab. Please stay tuned, we’ll add more information soon. Feel free to contact us in the meantime.

What’s up?

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

As part of the 3D GeoInfo 2019 conference, and the 2th BIM/GIS Integration Workshop, we are organising a special issue in Transactions …

We are pleased to have been visited by a group of master students studying at the Stuttgart Technology University of Applied Sciences …

We have generated a dataset of all public housing buildings and we are releasing it as open data

The Schlumberger Foundation is accepting new applications for the 2020–2021 Faculty for the Future Fellowships from September 5th to …


Team members


Filip Biljecki

Assistant Professor in GIS and Lab Director

3D city modelling, 3D GIS, Geographic data science


Shantong Wang

Graduate student

Geo-Spatial/Temporal Analysis, Urban Studies, Remote Sensing Application


Lee Yun-Ann

Graduate student

Urban planning, Land economics



Li Jialin

Graduate student

Big data and housing prices

Projects and themes

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


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

Recent publications

All publications are available here.

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

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