Environmental datasets are increasingly becoming larger and more complex. The Environment Data Analytics Group develops techniques that can interpret these datasets.

Our ability to observe, measure and obtain data on the environment is becoming increasingly more straightforward and cost effective. As a result, the datasets we obtain are becoming larger and more complex. In the Environmental Data Analytics Group, we develop and apply numerical methods which summarise, analyse and recognise patterns in complex ecological and environmental datasets. We then capture these patterns as models, and generate predictions on how the environmental system might behave or respond to external pressures. We use stochastic, statistical and process based models in both the space and time domain.

Our people

Our research

  • Environmental Data Sciences,
  • Agricultural Informatics,
  • Systems modelling.

Current research projects

  • Ecosystem Goods and Services,
  • Digital Soil Mapping,
  • Ecological Indicators,
  • Agricultural Informatics,
  • Systems modelling.