Costly planning errors and fragmented data systems, a long-standing challenge for the country, are now being addressed after decades of uncoordinated land use.

Spatial data has become increasingly available to businesses and government bodies alike, and there is much more that can be done to leverage its power.

What sets our work apart is the incorporation of a unique spatiotemporal features, built on data from Facebook's social connectedness dataset. This innovative feature acts as a proxy for population ...

Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...

One of the primary advantages of spatial data lies in its capacity to enable targeted resource allocation. By analysing spatial data, government and councils can gain insights into the challenges ...

The Spatial Data Analysis Laboratory (FORS 206) is to promote applications of Geographic Information Systems (GIS), Global Positioning Systems (GPS), Remote Sensing, and Modeling/Computer Simulations ...