My research in Spatial Data Analytics develops methods that integrate and analyse high volumes of spatial data to uncover hidden patterns / correlations. It provides spatial insight for social and environmental applications. The context for this work is the limitless demand for and capture of spatial data: from smartphone apps, social networks and more traditional activities related to planning, human rights, environmental justice, public health, climate change, agriculture, land use, etc.
Current research is developing models for analysing spatial data generated by GPS-enabled devices in the context of environmental monitoring. This extends concepts of 'crowd sourcing' into the 'citizen sensor', supporting community empowerment, resilience and adaptability.