About the Urban Analytics Lab
We are a 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 and digital twins in the realm of smart cities, and make sense of big geospatial data in the built environment. We are particularly interested in the interface of emerging datasets such as street view imagery, 3D urban models, and crowdsourced data with the state of the art of artificial intelligence to solve contemporary urban challenges.
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 three sister labs: the Building and Urban Data Science (BUDS) Lab, the Integrated Data, Energy Analysis + Simulation (IDEAS) Lab, and the Urban Climate Design Lab, forming a coherent constellation of nimble research groups with complementary activities and operating at converging 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, street view imagery, spatial data quality and standardisation (CityJSON, CityGML), Volunteered geoinformation (VGI) and OpenStreetMap (OSM), Building Information modelling (BIM) 3D underground data modelling, and 3D cadastre.