Modelling soil pH under urbanisation pressure in Brisbane

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Summary: This project investigated how rapid urban growth affects soil health across Greater Brisbane. By integrating environmental, socio-economic, and infrastructure data, I modelled soil pH patterns using multiple approaches: OLS, Geographically Weighted Regression (GWR), and Forest-based Regression.

The analysis revealed that soil organic carbon, road density, and population growth were key drivers of soil acidification, with GWR achieving the strongest predictive performance. Scenario modelling around the 2032 Olympic development sites highlighted future risks to soil quality under continued expansion.

Through this work, I demonstrated how geospatial modelling can inform sustainable urban planning, bridging environmental science with practical decision-making for city growth through ArcGIS.