Geographical Information Science

Geocomputation and environmental informatics

The analysis of geographical data is central to GIS. The group’s research on geocomputation and environmental informatics lies at the forefront of the development and testing of computational algorithms and procedures to address major contemporary problems in science and technology. Recent research has used a variety of contemporary tools such as neural networks, Bayesian networks, geographically weighted regression and support vector machines in addressing major geographical issues. Key application areas include hydrological modelling (Abrahart, Mount, Priestnall), flood estimation and characterisations of biodiversity (Foody), which complement research in the Environmental and Geomorphological Science and the Environmental Management and Policy themes. This work has enhanced understanding of river channel adjustment, estimation of spatial error and scale dependencies in environmental data sets.

Radiometry in Kruger National Park