Geospatial and 3D urban modelling research group at the National University of Singapore
We are a new multidisciplinary research group focusing on urban data analysis, geographic data science, and 3D city modelling at the National University of Singapore (NUS), a leading global university centred in Asia. Our mission is to leverage spatially enabled data for urban applications, catalyse the development of spatial data infrastructures in the context of smart cities, and make sense of big geospatial data and digital twins in the built environment.
We are involved in several international collaborations such as the International Society for Photogrammetry and Remote Sensing (ISPRS) and the Open Geospatial Consortium (OGC). Within NUS, we collaborate primarily with two sister labs: the Building and Urban Data Science (BUDS) Lab and the Integrated Data, Energy Analysis + Simulation (IDEAS) Lab, forming a constellation of research groups with complementary activities and scales.
The full list of our interests and key words: Geographical Information Science (GIS), geospatial machine learning, geographic data science, spatial data infrastructure (SDI), 3D city modelling / 3D GIS / digital twins, 3D urban analytics, spatial data quality and standardisation (CityJSON, CityGML), Volunteered geoinformation (VGI) and OpenStreetMap (OSM), Building Information modelling (BIM) 3D underground data modelling, and 3D cadastre.
Updates from our Lab
This article investigates the current status of generating 3D building models across 11 countries in Southeast Asia from publicly available data, primarily volunteered geoinformation (OpenStreetMap).
We are moving our geospatial analysis to the cloud. As we are evaluating the various offerings by AWS and Google Cloud Platform, we wonder to what extent these cloud database products support spatial functions in comparison to PostGIS.
Our curated inventory of data relevant for geospatial and urban analyses
And how we do it
Novel technologies to connect smart cities
Creating country-wide 3D city models using artificial intelligence
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.
Our 15 latest papers. Enjoy~