Tasked to segment Singapore at the planning subzone level into homogeneous socioeconomic areas by combining geodemographic data extracted from Singapore Department of Statistics and urban functions extracted from the geospatial data provided.

Task to analyse the distribution of Airbnb Airbnb listing by using appropriate spatial point patterns analysis techniques.

Calibrating a simple linear regression to reveal the relation between public bus commuters’ flows (i.e. tap-in or tap-out) data and residential population at the planning sub-zone level.  Performing spatial autocorrelation analysis on the residual of the regression model to test if the model conforms to the randomization assumption.  Performing localized geospatial statistics analysis by using commuters’ tap-in and tap-out data to identify geographical clustering.